CRAN Package Check Results for Package nadir

Last updated on 2026-10-24 09:50:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.0.1 13.78 234.85 248.63 OK
r-devel-linux-x86_64-debian-gcc 0.0.1 9.46 162.95 172.41 OK
r-devel-linux-x86_64-fedora-clang 0.0.1 5.76 ERROR
r-devel-linux-x86_64-fedora-gcc 0.0.1 9.00 157.62 166.62 ERROR
r-devel-windows-x86_64 0.0.1 16.00 246.00 262.00 OK
r-patched-linux-x86_64 0.0.1 14.91 225.71 240.62 OK
r-release-linux-x86_64 0.0.1 14.12 227.38 241.50 OK
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 18.00 234.00 252.00 OK
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 23.00 327.00 350.00 OK

Check Details

Version: 0.0.1
Check: whether package can be installed
Result: ERROR Installation failed. Flavor: r-devel-linux-x86_64-fedora-clang

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 Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.0.1
Check: tests
Result: ERROR Running ‘testthat.R’ [41s/120s] 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