CRAN Package Check Results for Maintainer ‘Klaus K. Holst <klaus at holst.it>’

Last updated on 2025-12-04 09:50:26 CET.

Package	ERROR	NOTE	OK
lava			13
mets		3	10
targeted	2	2	9

Package lava

Current CRAN status: OK: 13

Package mets

Current CRAN status: NOTE: 3, OK: 10

Version: 1.3.8
Check: installed package size
Result: NOTE installed size is 28.9Mb sub-directories of 1Mb or more: R 2.0Mb doc 3.4Mb libs 21.4Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Package targeted

Current CRAN status: ERROR: 2, NOTE: 2, OK: 9

Version: 0.6
Check: examples
Result: ERROR Running examples in ‘targeted-Ex.R’ failed The error most likely occurred in: > ### Name: learner_xgboost > ### Title: Construct a learner > ### Aliases: learner_xgboost > > ### ** Examples > > n <- 1e3 > x1 <- rnorm(n, sd = 2) > x2 <- rnorm(n) > lp <- x2*x1 + cos(x1) > yb <- rbinom(n, 1, lava::expit(lp)) > y <- lp + rnorm(n, sd = 0.5**.5) > d0 <- data.frame(y, yb, x1, x2) > > # regression > lr <- learner_xgboost(y ~ x1 + x2, nrounds = 5) > lr$estimate(d0) Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), : Passed unrecognized parameters: verbose. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'eta' has been renamed to 'learning_rate'. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'lambda' has been renamed to 'reg_lambda'. This warning will become an error in a future version. Error in (function (x, y, objective = NULL, nrounds = 100L, max_depth = NULL, : argument "y" is missing, with no default Calls: <Anonymous> ... <Anonymous> -> process.y.margin.and.objective -> NROW Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.6
Check: tests
Result: ERROR Running ‘tinytest.R’ [40s/152s] Running the tests in ‘tests/tinytest.R’ failed. Complete output: > > if (requireNamespace("tinytest", quietly = TRUE)) { + + ## future::plan("sequential") + Sys.setenv("OMP_THREAD_LIMIT" = 2) + options(Ncpus = 1) + data.table::setDTthreads(1) + + tinytest::test_package("targeted") + } test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 1 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 2 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 2 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 11 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 11 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 23 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 23 tests <1b>[0;32mOK<1b>[0m OMP: Warning #96: Cannot form a team with 8 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). test_cate.R................... 27 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 27 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 27 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 31 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 35 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 35 tests <1b>[0;32mOK<1b>[0m 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<1b>[0;32mOK<1b>[0m Attaching package: 'survival' The following object is masked from 'package:future': cluster test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 56 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 63 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 63 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 70 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 70 tests <1b>[0;32mOK<1b>[0m test_cumhaz.R................. 77 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m29.8s<1b>[0m 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tests test_learner_naivebayes.R..... 1 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 2 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 2 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 2 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 2 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 3 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 4 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 5 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 5 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 5 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 6 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 7 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 7 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 7 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 7 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 7 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 7 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 8 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 8 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 8 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 9 tests <1b>[0;32mOK<1b>[0m test_learner_naivebayes.R..... 10 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m3.1s<1b>[0m test_learner_sl.R............. 0 tests test_learner_sl.R............. 0 tests test_learner_sl.R............. 0 tests test_learner_sl.R............. 0 tests test_learner_sl.R............. 5 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m6.8s<1b>[0m test_learner_stratify.R....... 0 tests test_learner_stratify.R....... 0 tests test_learner_stratify.R....... 0 tests test_learner_stratify.R....... 3 tests <1b>[0;32mOK<1b>[0m test_learner_stratify.R....... 3 tests <1b>[0;32mOK<1b>[0m test_learner_stratify.R....... 5 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m1.4s<1b>[0m test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 1 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 3 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 3 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 3 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 4 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 5 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 5 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 5 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 6 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 7 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 8 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 8 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 9 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 9 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 9 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 10 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m4.1s<1b>[0m test_learner_xgboost.R........ 0 tests test_learner_xgboost.R........ 0 tests test_learner_xgboost.R........ 0 tests test_learner_xgboost.R........ 0 tests Error in (function (x, y, objective = NULL, nrounds = 100L, max_depth = NULL, : argument "y" is missing, with no default Calls: <Anonymous> ... <Anonymous> -> process.y.margin.and.objective -> NROW In addition: Warning messages: 1: In throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), : Passed unrecognized parameters: verbose. This warning will become an error in a future version. 2: In throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version. 3: In throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'eta' has been renamed to 'learning_rate'. This warning will become an error in a future version. 4: In throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'lambda' has been renamed to 'reg_lambda'. This warning will become an error in a future version. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.6
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building ‘predictionclass.Rmd’ using rmarkdown Quitting from predictionclass.Rmd:143-145 [unnamed-chunk-5] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error: ! argument "y" is missing, with no default --- Backtrace: ▆ 1. └─lr_xgboost$estimate(data = pbc) 2. └─private$fitfun(data, ...) 3. ├─base::structure(do.call(private$init.estimate, args), design = summary(xx)) 4. ├─base::do.call(private$init.estimate, args) 5. └─targeted (local) `<fn>`(...) 6. ├─base::do.call(...) 7. └─xgboost (local) `<fn>`(...) 8. └─xgboost:::process.y.margin.and.objective(...) 9. └─base::NROW(y) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'predictionclass.Rmd' failed with diagnostics: argument "y" is missing, with no default --- failed re-building ‘predictionclass.Rmd’ --- re-building ‘riskregression.Rmd’ using rmarkdown OMP: Warning #96: Cannot form a team with 8 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). --- finished re-building ‘riskregression.Rmd’ SUMMARY: processing the following file failed: ‘predictionclass.Rmd’ Error: Vignette re-building failed. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.6
Check: tests
Result: ERROR Running ‘tinytest.R’ [39s/106s] Running the tests in ‘tests/tinytest.R’ failed. Complete output: > > if (requireNamespace("tinytest", quietly = TRUE)) { + + ## future::plan("sequential") + Sys.setenv("OMP_THREAD_LIMIT" = 2) + options(Ncpus = 1) + data.table::setDTthreads(1) + + tinytest::test_package("targeted") + } test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 0 tests test_cate.R................... 1 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 2 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 2 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 11 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 11 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 23 tests <1b>[0;32mOK<1b>[0m test_cate.R................... 23 tests 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<1b>[0;34m0.2s<1b>[0m test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 0 tests test_learner_svm.R............ 1 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 2 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 3 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 3 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 3 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 4 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 5 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 5 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 5 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 6 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 7 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 8 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 8 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 9 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 9 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 9 tests <1b>[0;32mOK<1b>[0m test_learner_svm.R............ 10 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m2.4s<1b>[0m test_learner_xgboost.R........ 0 tests test_learner_xgboost.R........ 0 tests test_learner_xgboost.R........ 0 tests test_learner_xgboost.R........ 0 tests Error in (function (x, y, objective = NULL, nrounds = 100L, max_depth = NULL, : argument "y" is missing, with no default Calls: <Anonymous> ... <Anonymous> -> process.y.margin.and.objective -> NROW In addition: Warning messages: 1: In throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), : Passed unrecognized parameters: verbose. This warning will become an error in a future version. 2: In throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version. 3: In throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'eta' has been renamed to 'learning_rate'. This warning will become an error in a future version. 4: In throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'lambda' has been renamed to 'reg_lambda'. This warning will become an error in a future version. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.6
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building ‘predictionclass.Rmd’ using rmarkdown Quitting from predictionclass.Rmd:143-145 [unnamed-chunk-5] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error: ! argument "y" is missing, with no default --- Backtrace: ▆ 1. └─lr_xgboost$estimate(data = pbc) 2. └─private$fitfun(data, ...) 3. ├─base::structure(do.call(private$init.estimate, args), design = summary(xx)) 4. ├─base::do.call(private$init.estimate, args) 5. └─targeted (local) `<fn>`(...) 6. ├─base::do.call(...) 7. └─xgboost (local) `<fn>`(...) 8. └─xgboost:::process.y.margin.and.objective(...) 9. └─base::NROW(y) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'predictionclass.Rmd' failed with diagnostics: argument "y" is missing, with no default --- failed re-building ‘predictionclass.Rmd’ --- re-building ‘riskregression.Rmd’ using rmarkdown --- finished re-building ‘riskregression.Rmd’ SUMMARY: processing the following file failed: ‘predictionclass.Rmd’ Error: Vignette re-building failed. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.6
Check: installed package size
Result: NOTE installed size is 14.6Mb sub-directories of 1Mb or more: libs 12.3Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64