Last updated on 2019-11-25 05:47:26 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.7.1 | 11.63 | 119.82 | 131.45 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.7.1 | 9.44 | 91.81 | 101.25 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.7.1 | 144.74 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.7.1 | 89.06 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 0.7.1 | 28.00 | 167.00 | 195.00 | ERROR | |
| r-devel-windows-ix86+x86_64-gcc8 | 0.7.1 | 21.00 | 133.00 | 154.00 | ERROR | |
| r-patched-linux-x86_64 | 0.7.1 | 10.08 | 106.88 | 116.96 | ERROR | |
| r-patched-solaris-x86 | 0.7.1 | 204.90 | ERROR | |||
| r-release-linux-x86_64 | 0.7.1 | 11.58 | 117.45 | 129.03 | ERROR | |
| r-release-windows-ix86+x86_64 | 0.7.1 | 26.00 | 172.00 | 198.00 | ERROR | |
| r-release-osx-x86_64 | 0.7.1 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.7.1 | 10.00 | 129.00 | 139.00 | OK | |
| r-oldrel-osx-x86_64 | 0.7.1 | OK |
Version: 0.7.1
Check: R code for possible problems
Result: NOTE
predict.pre: no visible global function definition for
'predict.cv.glmnet'
Undefined global functions or variables:
predict.cv.glmnet
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-devel-windows-ix86+x86_64-gcc8, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64
Version: 0.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [39s/46s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R Under development (unstable) (2019-11-23 r77455)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux bullseye/sid
Matrix products: default
BLAS: /home/hornik/tmp/R.check/r-devel-clang/Work/build/lib/libRblas.so
LAPACK: /home/hornik/tmp/R.check/r-devel-clang/Work/build/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.iso885915 LC_NUMERIC=C
[3] LC_TIME=en_US.iso885915 LC_COLLATE=C
[5] LC_MONETARY=en_US.iso885915 LC_MESSAGES=en_US.iso885915
[7] LC_PAPER=en_US.iso885915 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.iso885915 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_4.0.0 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.2 foreach_1.4.7 stringr_1.4.0 tools_4.0.0
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_4.0.0
>
> test_check("pre")
-- 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
-- 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
-- 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
-- 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
-- 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
-- 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
-- 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) -
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
== testthat results ===========================================================
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [28s/43s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R Under development (unstable) (2019-11-23 r77455)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux bullseye/sid
Matrix products: default
BLAS: /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libRblas.so
LAPACK: /home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=C
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_4.0.0 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.2 foreach_1.4.7 stringr_1.4.0 tools_4.0.0
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_4.0.0
>
> test_check("pre")
── 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
── 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
── 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
── 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
── 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
── 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
── 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) ─
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [39s/49s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R Under development (unstable) (2019-11-23 r77455)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Fedora 30 (Workstation Edition)
Matrix products: default
BLAS: /data/gannet/ripley/R/R-clang/lib/libRblas.so
LAPACK: /data/gannet/ripley/R/R-clang/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_GB.utf8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8 LC_COLLATE=C
[5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_4.0.0 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.2 foreach_1.4.7 stringr_1.4.0 tools_4.0.0
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_4.0.0
>
> test_check("pre")
── 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
── 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
── 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
── 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
── 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
── 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
── 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) ─
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [22s/25s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R Under development (unstable) (2019-11-19 r77437)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Fedora 30 (Workstation Edition)
Matrix products: default
BLAS: /data/gannet/ripley/R/R-devel/lib/libRblas.so
LAPACK: /data/gannet/ripley/R/R-devel/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_GB.utf8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8 LC_COLLATE=C
[5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_4.0.0 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_4.0.0
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_4.0.0
>
> test_check("pre")
── 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
── 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
── 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
── 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
── 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
── 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
── 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) ─
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [39s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R Under development (unstable) (2019-11-17 r77430)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server 2008 x64 (build 6003) Service Pack 2
Matrix products: default
locale:
[1] LC_COLLATE=C LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=C LC_NUMERIC=C
[5] LC_TIME=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_4.0.0 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_4.0.0
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_4.0.0
>
> test_check("pre")
-- 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
-- 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
-- 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
-- 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
-- 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
-- 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
-- 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) -
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
== testthat results ===========================================================
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-windows-ix86+x86_64
Version: 0.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [39s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R Under development (unstable) (2019-11-14 r77415)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server 2008 x64 (build 6003) Service Pack 2
Matrix products: default
locale:
[1] LC_COLLATE=C LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=C LC_NUMERIC=C
[5] LC_TIME=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_4.0.0 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_4.0.0
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_4.0.0
>
> test_check("pre")
-- 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
-- 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
-- 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
-- 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
-- 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
-- 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
-- 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) -
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
== testthat results ===========================================================
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-windows-ix86+x86_64-gcc8
Version: 0.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [35s/41s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R version 3.6.1 Patched (2019-11-20 r77446)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux bullseye/sid
Matrix products: default
BLAS: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib/libRblas.so
LAPACK: /home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=C
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_3.6.1 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_3.6.1
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_3.6.1
>
> test_check("pre")
── 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
── 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
── 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
── 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
── 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
── 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
── 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) ─
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [50s/51s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R version 3.6.1 Patched (2019-11-18 r77437)
Platform: i386-pc-solaris2.10 (32-bit)
Running under: Solaris 10
Matrix products: default
BLAS: /home/ripley/R/cc/lib/libRblas.so
LAPACK: /home/ripley/R/cc/lib/libRlapack.so
locale:
[1] /en_GB.UTF-8/C/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_3.6.1 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_3.6.1
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_3.6.1
>
> test_check("pre")
── 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
── 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
── 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
── 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
── 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
── 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
── 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) ─
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 101 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-solaris-x86
Version: 0.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [37s/46s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux bullseye/sid
Matrix products: default
BLAS: /home/hornik/tmp/R.check/r-release-gcc/Work/build/lib/libRblas.so
LAPACK: /home/hornik/tmp/R.check/r-release-gcc/Work/build/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=C
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_3.6.1 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_3.6.1
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_3.6.1
>
> test_check("pre")
── 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
── 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
── 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
── 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
── 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
── 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
── 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) ─
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [50s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(pre)
>
> #####
> # partykit and earth is loaded as failures of tests may be caused by the version
> # of either package. Thus, we print the sessionInfo
>
> library(earth)
Loading required package: Formula
Loading required package: plotmo
Loading required package: plotrix
Loading required package: TeachingDemos
> library(partykit)
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
> print(sessionInfo())
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server 2008 x64 (build 6003) Service Pack 2
Matrix products: default
locale:
[1] LC_COLLATE=C LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=C LC_NUMERIC=C
[5] LC_TIME=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] partykit_1.2-5 mvtnorm_1.0-11 libcoin_1.0-5 earth_5.1.2
[5] plotmo_3.5.6 TeachingDemos_2.10 plotrix_3.7-6 Formula_1.2-3
[9] pre_0.7.1 testthat_2.3.0
loaded via a namespace (and not attached):
[1] magrittr_1.5 splines_3.6.1 lattice_0.20-38 R6_2.4.1
[5] rlang_0.4.1 foreach_1.4.7 stringr_1.4.0 tools_3.6.1
[9] glmnet_3.0-1 iterators_1.0.12 MatrixModels_0.4-1 survival_3.1-7
[13] inum_1.0-1 Matrix_1.2-17 codetools_0.2-16 rpart_4.1-15
[17] shape_1.4.4 stringi_1.4.3 compiler_3.6.1
>
> test_check("pre")
-- 1. Error: Importance gives previous results with airquality data (@test_pre_m
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::importance(airq.ens, global = FALSE, plot = FALSE)
2. pre:::predict.pre(...)
-- 2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::cvpre(airq.ens, k = 2, print = FALSE, parallel = FALSE)
3. pre:::predict.pre(...)
-- 3. Error: bsnullinteract and interact gives previous results with airquality
could not find function "predict.cv.glmnet"
Backtrace:
1. pre::bsnullinteract(airq.ens, nsamp = 1)
2. pre:::predict.pre(bs.ens.null, newdata = object$data, type = "link")
-- 4. Error: Predict gives previous results with airquality data (@test_pre_misc
could not find function "predict.cv.glmnet"
Backtrace:
1. stats::predict(airq.ens, airquality)
2. pre:::predict.pre(airq.ens, airquality)
-- 5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
`fit` not equal to read_to_test("lung_w_pre_surv").
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "i": Numeric: lengths (370, 371) differ >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "p": Mean relative difference: 0.003015454 >
Component "glmnet.fit": Component "glmnet.fit": Component "beta": Attributes: < Component "x": Numeric: lengths (370, 371) differ >
-- 6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FA
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(predict(airq.ens), predict(airq.ens.sparse))
5. pre:::predict.pre(airq.ens)
-- 7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194) -
could not find function "predict.cv.glmnet"
Backtrace:
1. testthat::expect_equal(...)
5. pre:::predict.pre(...)
== testthat results ===========================================================
[ OK: 104 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 7 ]
1. Error: Importance gives previous results with airquality data (@test_pre_misc.R#63)
2. Error: cvpre gives previous results with airquality data (@test_pre_misc.R#100)
3. Error: bsnullinteract and interact gives previous results with airquality data (@test_pre_misc.R#122)
4. Error: Predict gives previous results with airquality data (@test_pre_misc.R#159)
5. Failure: Get previous results with lung survival data (@tests_pre.R#157)
6. Error: pre gives almost the same rules with `sparse` set to `TRUE` and `FALSE` (@tests_pre.R#180)
7. Error: predict.pre works with `sparse` set to `TRUE` (@tests_pre.R#194)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-windows-ix86+x86_64