The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Last updated on 2026-11-01 23:54:34 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.0.1 | 13.03 | 221.24 | 234.27 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.0.1 | 9.14 | 150.10 | 159.24 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.0.1 | 10.00 | 144.70 | 154.70 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.0.1 | 9.00 | 149.06 | 158.06 | ERROR | |
| r-devel-windows-x86_64 | 0.0.1 | 15.00 | 223.00 | 238.00 | ERROR | |
| r-patched-linux-x86_64 | 0.0.1 | 12.69 | 211.81 | 224.50 | ERROR | |
| r-release-linux-x86_64 | 0.0.1 | 13.74 | 210.05 | 223.79 | ERROR | |
| r-release-macos-arm64 | 0.0.1 | 3.00 | 63.00 | 66.00 | OK | |
| r-release-macos-x86_64 | 0.0.1 | 9.00 | 300.00 | 309.00 | OK | |
| r-release-windows-x86_64 | 0.0.1 | 17.00 | 219.00 | 236.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.0.1 | 3.00 | 65.00 | 68.00 | OK | |
| r-oldrel-macos-x86_64 | 0.0.1 | 10.00 | 360.00 | 370.00 | OK | |
| r-oldrel-windows-x86_64 | 0.0.1 | 22.00 | 283.00 | 305.00 | ERROR |
Version: 0.0.1
Check: examples
Result: ERROR
Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
>
> ### ** Examples
>
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, :
invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
cv_super_learner 11.002 0.111 14.989
compare_learners 4.699 0.044 5.859
cv_origami_schema 4.565 0.031 5.591
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [54s/70s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.0.1
Check: examples
Result: ERROR
Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
>
> ### ** Examples
>
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, :
invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
cv_super_learner 5.653 0.198 7.262
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [39s/48s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0.1
Check: examples
Result: ERROR
Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
>
> ### ** Examples
>
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, :
invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [38s/39s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [39s/42s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.0.1
Check: tests
Result: ERROR
Running 'testthat.R' [58s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.0.1
Check: examples
Result: ERROR
Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
>
> ### ** Examples
>
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, :
invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
cv_super_learner 10.663 0.104 16.277
compare_learners 4.490 0.075 6.995
cv_origami_schema 4.243 0.048 6.502
Flavor: r-patched-linux-x86_64
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [57s/80s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.0.1
Check: examples
Result: ERROR
Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
>
> ### ** Examples
>
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, :
invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
cv_super_learner 10.855 0.094 17.060
compare_learners 4.590 0.045 7.043
cv_origami_schema 4.428 0.044 6.291
Flavor: r-release-linux-x86_64
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [56s/64s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.0.1
Check: tests
Result: ERROR
Running 'testthat.R' [57s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-windows-x86_64
Version: 0.0.1
Check: tests
Result: ERROR
Running 'testthat.R' [73s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(nadir)
>
> test_check("nadir")
Saving _problems/test-continuous-learners-31.R
Saving _problems/test-continuous-learners-68.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_lmer(data = mtcars, formula = mpg ~ (1 | cyl) + hp) at test-continuous-learners.R:30:3
2. ├─lme4::lmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::lFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
Backtrace:
▆
1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
2. ├─lme4::glmer(...)
3. │ └─base::eval(mc, parent.frame(1L))
4. │ └─base::eval(mc, parent.frame(1L))
5. ├─lme4::glFormula(...)
6. │ └─lme4:::mkFormula(...)
7. │ └─base::eval(mf, parent_env)
8. │ └─base::eval(mf, parent_env)
9. ├─stats::model.frame(...)
10. └─stats::model.frame.default(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-windows-x86_64
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.