CRAN Package Check Results for Package rater

Last updated on 2021-01-10 14:48:33 CET.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	1.0.0	471.68	138.32	610.00	ERROR
r-devel-linux-x86_64-debian-gcc	1.0.0	394.76	120.60	515.36	ERROR
r-devel-linux-x86_64-fedora-clang	1.0.0			840.91	ERROR
r-devel-linux-x86_64-fedora-gcc	1.0.0			894.74	ERROR
r-devel-windows-ix86+x86_64	1.0.0	1011.00	305.00	1316.00	ERROR
r-patched-linux-x86_64	1.0.0	315.66	151.66	467.32	NOTE
r-patched-solaris-x86	1.0.0			828.60	NOTE
r-release-linux-x86_64	1.0.0	327.61	150.28	477.89	NOTE
r-release-macos-x86_64	1.0.0				NOTE
r-release-windows-ix86+x86_64	1.0.0	792.00	236.00	1028.00	NOTE
r-oldrel-macos-x86_64	1.0.0				NOTE
r-oldrel-windows-ix86+x86_64	1.0.0	731.00	210.00	941.00	NOTE

Check Details

Version: 1.0.0
Check: for GNU extensions in Makefiles
Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64

Version: 1.0.0
Check: tests
Result: ERROR
     Running 'testthat.R' [19s/20s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(rater)
     * The rater package uses `Stan` to fit bayesian models.
     * If you are working on a local, multicore CPU with excess RAM please call:
     * options(mc.cores = parallel::detectCores())
     * This will allow Stan to run inference on multiple cores in parallel.
     >
     > test_check("rater")

     SAMPLING FOR MODEL 'dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000496 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.96 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.757891 seconds (Warm-up)
     Chain 1: 0.744691 seconds (Sampling)
     Chain 1: 1.50258 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'hierarchical_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000358 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.58 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.738446 seconds (Warm-up)
     Chain 1: 0.61113 seconds (Sampling)
     Chain 1: 1.34958 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'class_conditional_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000423 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.23 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.424312 seconds (Warm-up)
     Chain 1: 0.359856 seconds (Sampling)
     Chain 1: 0.784168 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'grouped_data' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000134 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.34 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.151072 seconds (Warm-up)
     Chain 1: 0.132232 seconds (Sampling)
     Chain 1: 0.283304 seconds (Total)
     Chain 1:
     == Skipped tests ===============================================================
     * TODO: Decide on plain language interface (1)

     == Failed tests ================================================================
     -- Failure (test_fit_class.R:28:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "theta") not equal to `raters_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:31:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "latent_class") not equal to `latent_class_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:34:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "pi") not equal to `prevalence_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "coordinates": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:42:3): can plot multiple parameters ---------------
     plot(ds_fit, pars = c("theta", "pi")) not equal to list(raters_plot, prevalence_plot).
     Component 1: Component 2: Component 1: Component 11: Component 1: target is not list-like
     Component 1: Component 2: Component 2: Component 11: Component 1: target is not list-like
     Component 1: Component 3: Component 1: Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     ...

     [ FAIL 4 | WARN 0 | SKIP 1 | PASS 142 ]
     Error: Test failures
     In addition: There were 15 warnings (use warnings() to see them)
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [14s/19s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(rater)
     * The rater package uses `Stan` to fit bayesian models.
     * If you are working on a local, multicore CPU with excess RAM please call:
     * options(mc.cores = parallel::detectCores())
     * This will allow Stan to run inference on multiple cores in parallel.
     >
     > test_check("rater")

     SAMPLING FOR MODEL 'dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000311 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.11 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.535269 seconds (Warm-up)
     Chain 1: 0.457143 seconds (Sampling)
     Chain 1: 0.992412 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'hierarchical_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000167 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.67 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.445465 seconds (Warm-up)
     Chain 1: 0.33416 seconds (Sampling)
     Chain 1: 0.779625 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'class_conditional_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000354 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.54 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.325267 seconds (Warm-up)
     Chain 1: 0.289619 seconds (Sampling)
     Chain 1: 0.614886 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'grouped_data' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 9.7e-05 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.97 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.094915 seconds (Warm-up)
     Chain 1: 0.089825 seconds (Sampling)
     Chain 1: 0.18474 seconds (Total)
     Chain 1:
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● TODO: Decide on plain language interface (1)

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Failure (test_fit_class.R:28:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "theta") not equal to `raters_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:31:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "latent_class") not equal to `latent_class_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:34:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "pi") not equal to `prevalence_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "coordinates": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:42:3): can plot multiple parameters ───────────────
     plot(ds_fit, pars = c("theta", "pi")) not equal to list(raters_plot, prevalence_plot).
     Component 1: Component 2: Component 1: Component 11: Component 1: target is not list-like
     Component 1: Component 2: Component 2: Component 11: Component 1: target is not list-like
     Component 1: Component 3: Component 1: Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     ...

     [ FAIL 4 | WARN 0 | SKIP 1 | PASS 142 ]
     Error: Test failures
     In addition: There were 13 warnings (use warnings() to see them)
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0.0
Check: installed package size
Result: NOTE
     installed size is 78.9Mb
     sub-directories of 1Mb or more:
     libs 78.2Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64

Version: 1.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [22s/27s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(rater)
     * The rater package uses `Stan` to fit bayesian models.
     * If you are working on a local, multicore CPU with excess RAM please call:
     * options(mc.cores = parallel::detectCores())
     * This will allow Stan to run inference on multiple cores in parallel.
     >
     > test_check("rater")

     SAMPLING FOR MODEL 'dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000995 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 9.95 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.977104 seconds (Warm-up)
     Chain 1: 0.924338 seconds (Sampling)
     Chain 1: 1.90144 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'hierarchical_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.762833 seconds (Warm-up)
     Chain 1: 0.720158 seconds (Sampling)
     Chain 1: 1.48299 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'class_conditional_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000995 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 9.95 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.51836 seconds (Warm-up)
     Chain 1: 0.467431 seconds (Sampling)
     Chain 1: 0.985791 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'grouped_data' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.157493 seconds (Warm-up)
     Chain 1: 0.153206 seconds (Sampling)
     Chain 1: 0.310699 seconds (Total)
     Chain 1:
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● TODO: Decide on plain language interface (1)

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Failure (test_fit_class.R:28:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "theta") not equal to `raters_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:31:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "latent_class") not equal to `latent_class_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:34:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "pi") not equal to `prevalence_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "coordinates": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:42:3): can plot multiple parameters ───────────────
     plot(ds_fit, pars = c("theta", "pi")) not equal to list(raters_plot, prevalence_plot).
     Component 1: Component 2: Component 1: Component 11: Component 1: target is not list-like
     Component 1: Component 2: Component 2: Component 11: Component 1: target is not list-like
     Component 1: Component 3: Component 1: Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     ...

     [ FAIL 4 | WARN 0 | SKIP 1 | PASS 142 ]
     Error: Test failures
     In addition: There were 13 warnings (use warnings() to see them)
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [21s/26s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(rater)
     * The rater package uses `Stan` to fit bayesian models.
     * If you are working on a local, multicore CPU with excess RAM please call:
     * options(mc.cores = parallel::detectCores())
     * This will allow Stan to run inference on multiple cores in parallel.
     >
     > test_check("rater")

     SAMPLING FOR MODEL 'dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.865029 seconds (Warm-up)
     Chain 1: 0.667481 seconds (Sampling)
     Chain 1: 1.53251 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'hierarchical_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.596274 seconds (Warm-up)
     Chain 1: 0.514661 seconds (Sampling)
     Chain 1: 1.11094 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'class_conditional_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.573472 seconds (Warm-up)
     Chain 1: 0.515519 seconds (Sampling)
     Chain 1: 1.08899 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'grouped_data' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0.000994 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 9.94 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.175633 seconds (Warm-up)
     Chain 1: 0.145513 seconds (Sampling)
     Chain 1: 0.321146 seconds (Total)
     Chain 1:
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● TODO: Decide on plain language interface (1)

     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Failure (test_fit_class.R:28:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "theta") not equal to `raters_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:31:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "latent_class") not equal to `latent_class_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:34:3): plot.fit dispatches correctly ──────────────
     plot(ds_fit, pars = "pi") not equal to `prevalence_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "coordinates": Component "super": Component "...": target is not list-like
     ...
     ── Failure (test_fit_class.R:42:3): can plot multiple parameters ───────────────
     plot(ds_fit, pars = c("theta", "pi")) not equal to list(raters_plot, prevalence_plot).
     Component 1: Component 2: Component 1: Component 11: Component 1: target is not list-like
     Component 1: Component 2: Component 2: Component 11: Component 1: target is not list-like
     Component 1: Component 3: Component 1: Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     ...

     [ FAIL 4 | WARN 0 | SKIP 1 | PASS 142 ]
     Error: Test failures
     In addition: There were 12 warnings (use warnings() to see them)
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.0.0
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [24s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(rater)
     * The rater package uses `Stan` to fit bayesian models.
     * If you are working on a local, multicore CPU with excess RAM please call:
     * options(mc.cores = parallel::detectCores())
     * This will allow Stan to run inference on multiple cores in parallel.
     >
     > test_check("rater")

     SAMPLING FOR MODEL 'dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 1.248 seconds (Warm-up)
     Chain 1: 1.279 seconds (Sampling)
     Chain 1: 2.527 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'hierarchical_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 1.373 seconds (Warm-up)
     Chain 1: 1.139 seconds (Sampling)
     Chain 1: 2.512 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'class_conditional_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.733 seconds (Warm-up)
     Chain 1: 0.718 seconds (Sampling)
     Chain 1: 1.451 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'grouped_data' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.265 seconds (Warm-up)
     Chain 1: 0.218 seconds (Sampling)
     Chain 1: 0.483 seconds (Total)
     Chain 1:
     == Skipped tests ===============================================================
     * TODO: Decide on plain language interface (1)

     == Failed tests ================================================================
     -- Failure (test_fit_class.R:28:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "theta") not equal to `raters_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:31:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "latent_class") not equal to `latent_class_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:34:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "pi") not equal to `prevalence_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "coordinates": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:42:3): can plot multiple parameters ---------------
     plot(ds_fit, pars = c("theta", "pi")) not equal to list(raters_plot, prevalence_plot).
     Component 1: Component 2: Component 1: Component 11: Component 1: target is not list-like
     Component 1: Component 2: Component 2: Component 11: Component 1: target is not list-like
     Component 1: Component 3: Component 1: Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     ...

     [ FAIL 4 | WARN 0 | SKIP 1 | PASS 142 ]
     Error: Test failures
     In addition: There were 12 warnings (use warnings() to see them)
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 1.0.0
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [24s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(rater)
     * The rater package uses `Stan` to fit bayesian models.
     * If you are working on a local, multicore CPU with excess RAM please call:
     * options(mc.cores = parallel::detectCores())
     * This will allow Stan to run inference on multiple cores in parallel.
     >
     > test_check("rater")

     SAMPLING FOR MODEL 'dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 1.108 seconds (Warm-up)
     Chain 1: 1.029 seconds (Sampling)
     Chain 1: 2.137 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'hierarchical_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 1.17 seconds (Warm-up)
     Chain 1: 0.951 seconds (Sampling)
     Chain 1: 2.121 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'class_conditional_dawid_skene' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.718 seconds (Warm-up)
     Chain 1: 0.561 seconds (Sampling)
     Chain 1: 1.279 seconds (Total)
     Chain 1:

     SAMPLING FOR MODEL 'grouped_data' NOW (CHAIN 1).
     Chain 1:
     Chain 1: Gradient evaluation took 0 seconds
     Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
     Chain 1: Adjust your expectations accordingly!
     Chain 1:
     Chain 1:
     Chain 1: WARNING: There aren't enough warmup iterations to fit the
     Chain 1: three stages of adaptation as currently configured.
     Chain 1: Reducing each adaptation stage to 15%/75%/10% of
     Chain 1: the given number of warmup iterations:
     Chain 1: init_buffer = 15
     Chain 1: adapt_window = 75
     Chain 1: term_buffer = 10
     Chain 1:
     Chain 1: Iteration: 1 / 200 [ 0%] (Warmup)
     Chain 1: Iteration: 20 / 200 [ 10%] (Warmup)
     Chain 1: Iteration: 40 / 200 [ 20%] (Warmup)
     Chain 1: Iteration: 60 / 200 [ 30%] (Warmup)
     Chain 1: Iteration: 80 / 200 [ 40%] (Warmup)
     Chain 1: Iteration: 100 / 200 [ 50%] (Warmup)
     Chain 1: Iteration: 101 / 200 [ 50%] (Sampling)
     Chain 1: Iteration: 120 / 200 [ 60%] (Sampling)
     Chain 1: Iteration: 140 / 200 [ 70%] (Sampling)
     Chain 1: Iteration: 160 / 200 [ 80%] (Sampling)
     Chain 1: Iteration: 180 / 200 [ 90%] (Sampling)
     Chain 1: Iteration: 200 / 200 [100%] (Sampling)
     Chain 1:
     Chain 1: Elapsed Time: 0.234 seconds (Warm-up)
     Chain 1: 0.219 seconds (Sampling)
     Chain 1: 0.453 seconds (Total)
     Chain 1:
     == Skipped tests ===============================================================
     * TODO: Decide on plain language interface (1)

     == Failed tests ================================================================
     -- Failure (test_fit_class.R:28:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "theta") not equal to `raters_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:31:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "latent_class") not equal to `latent_class_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "scales": Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:34:3): plot.fit dispatches correctly --------------
     plot(ds_fit, pars = "pi") not equal to `prevalence_plot`.
     Component "layers": Component 1: Component 11: Component 1: target is not list-like
     Component "layers": Component 2: Component 11: Component 1: target is not list-like
     Component "scales": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "scales": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "env": Component "self": Component "super": Component "...": target is not list-like
     Component "coordinates": Component "super": Component "...": target is not list-like
     ...
     -- Failure (test_fit_class.R:42:3): can plot multiple parameters ---------------
     plot(ds_fit, pars = c("theta", "pi")) not equal to list(raters_plot, prevalence_plot).
     Component 1: Component 2: Component 1: Component 11: Component 1: target is not list-like
     Component 1: Component 2: Component 2: Component 11: Component 1: target is not list-like
     Component 1: Component 3: Component 1: Component 1: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 2: Component 5: Component 2: Component 18: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     Component 1: Component 3: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 5: Component 1: Component 2: Component 1: target is not list-like
     ...

     [ FAIL 4 | WARN 0 | SKIP 1 | PASS 142 ]
     Error: Test failures
     In addition: There were 13 warnings (use warnings() to see them)
     Execution halted
Flavor: r-devel-windows-ix86+x86_64