CRAN Package Check Results for Package bayesbr

Last updated on 2024-04-08 12:54:31 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.0.1.0	206.58	169.95	376.53	ERROR
r-devel-linux-x86_64-debian-gcc	0.0.1.0	174.76	137.14	311.90	ERROR
r-devel-linux-x86_64-fedora-clang	0.0.1.0			469.60	ERROR
r-devel-linux-x86_64-fedora-gcc	0.0.1.0			556.70	ERROR
r-devel-windows-x86_64	0.0.1.0	150.00	165.00	315.00	ERROR
r-patched-linux-x86_64	0.0.1.0	0.01	2.87	2.88	ERROR
r-release-linux-x86_64	0.0.1.0	174.69	281.98	456.67	NOTE
r-release-macos-arm64	0.0.1.0			131.00	NOTE
r-release-macos-x86_64	0.0.1.0			235.00	NOTE
r-release-windows-x86_64	0.0.1.0	202.00	299.00	501.00	NOTE
r-oldrel-macos-arm64	0.0.1.0			127.00	NOTE
r-oldrel-windows-x86_64	0.0.1.0	180.00	289.00	469.00	NOTE

Check Details

Version: 0.0.1.0
Check: Rd files
Result: NOTE checkRd: (-1) FoodExpenditure.Rd:48: Lost braces 48 | doi{10.1002/jae.3950090208} Griffiths, W.E., Hill, R.C., and Judge, G.G. (1993). | ^ checkRd: (-1) GasolineYield.Rd:30: Lost braces; missing escapes or markup? 30 | variables. It was observed that there are only ten sets of values for the first three explanatory variables, so these sets served as conditions for controlled distillation. These conditions are listed in the variable \ code {batch}. | ^ 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-x86_64

Version: 0.0.1.0
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-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-windows-x86_64

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000209 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.09 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 = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 5.11 seconds (Warm-up) Chain 1: 0.426 seconds (Sampling) Chain 1: 5.536 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.74, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000201 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.01 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 = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 6.883 seconds (Warm-up) Chain 1: 1.426 seconds (Sampling) Chain 1: 8.309 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.98, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.0.1.0
Check: dependencies in R code
Result: NOTE Namespaces in Imports field not imported from: ‘magrittr’ ‘rstantools’ All declared Imports should be used. Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-arm64

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000263 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.63 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 = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 9.169 seconds (Warm-up) Chain 1: 1.136 seconds (Sampling) Chain 1: 10.305 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.74, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000244 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.44 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 = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 8.181 seconds (Warm-up) Chain 1: 1.177 seconds (Sampling) Chain 1: 9.358 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.44, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in 'bayesbr-Ex.R' failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000486 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.86 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 = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 4.478 seconds (Warm-up) Chain 1: 0.852 seconds (Sampling) Chain 1: 5.33 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.86, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-windows-x86_64

Version: 0.0.1.0
Check: whether package can be installed
Result: ERROR Installation failed. Flavor: r-patched-linux-x86_64

Version: 0.0.1.0
Check: installed package size
Result: NOTE installed size is 42.2Mb sub-directories of 1Mb or more: libs 40.1Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64