CRAN Package Check Results for Package mlsurvlrnrs

Last updated on 2026-01-13 07:49:51 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.0.7 6.83 112.09 118.92 OK
r-devel-linux-x86_64-debian-gcc 0.0.7 3.82 88.52 92.34 OK
r-devel-linux-x86_64-fedora-clang 0.0.7 12.00 242.35 254.35 OK
r-devel-linux-x86_64-fedora-gcc 0.0.7 10.00 152.51 162.51 ERROR
r-devel-windows-x86_64 0.0.7 8.00 254.00 262.00 OK
r-patched-linux-x86_64 0.0.7 5.10 107.35 112.45 OK
r-release-linux-x86_64 0.0.7 4.70 110.52 115.22 OK
r-release-macos-arm64 0.0.7 1.00 76.00 77.00 OK
r-release-macos-x86_64 0.0.7 4.00 280.00 284.00 OK
r-release-windows-x86_64 0.0.7 8.00 256.00 264.00 OK
r-oldrel-macos-arm64 0.0.7 1.00 86.00 87.00 OK
r-oldrel-macos-x86_64 0.0.7 4.00 289.00 293.00 OK
r-oldrel-windows-x86_64 0.0.7 11.00 365.00 376.00 OK

Check Details

Version: 0.0.7
Check: tests
Result: ERROR Running ‘testthat.R’ [20s/24s] 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/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > Sys.setenv("OMP_THREAD_LIMIT" = 2) > Sys.setenv("Ncpu" = 2) > > library(testthat) > library(mlsurvlrnrs) > > test_check("mlsurvlrnrs") CV fold: Fold1 Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'. CV fold: Fold2 Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'. CV fold: Fold3 Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'. CV fold: Fold1 Saving _problems/test-surv_glmnet_cox-99.R CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Saving _problems/test-surv_ranger_cox-110.R CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Saving _problems/test-surv_rpart_cox-108.R CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Saving _problems/test-surv_xgboost_aft-121.R CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Saving _problems/test-surv_xgboost_cox-118.R CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 [ FAIL 5 | WARN 0 | SKIP 1 | PASS 9 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-surv_glmnet_cox.R:99:5'): test nested cv, grid - surv_glmnet_cox ── Error: Package "ParBayesianOptimization" must be installed to use 'strategy = "bayesian"'. Backtrace: ▆ 1. └─surv_glmnet_cox_optimizer$execute() at test-surv_glmnet_cox.R:99:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.fold_looper(self, private) 4. ├─base::do.call(private$cv_run_model, run_args) 5. └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`) 6. ├─base::do.call(.cv_run_nested_model, args) 7. └─mlexperiments (local) `<fn>`(...) 8. └─hparam_tuner$execute(k = self$k_tuning) 9. └─private$select_optimizer(self, private) 10. └─BayesianOptimizer$new(...) 11. └─mlexperiments (local) initialize(...) ── Error ('test-surv_ranger_cox.R:110:5'): test nested cv, bayesian - surv_ranger_cox ── Error: Package "ParBayesianOptimization" must be installed to use 'strategy = "bayesian"'. Backtrace: ▆ 1. └─surv_ranger_cox_optimizer$execute() at test-surv_ranger_cox.R:110:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.fold_looper(self, private) 4. ├─base::do.call(private$cv_run_model, run_args) 5. └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`) 6. ├─base::do.call(.cv_run_nested_model, args) 7. └─mlexperiments (local) `<fn>`(...) 8. └─hparam_tuner$execute(k = self$k_tuning) 9. └─private$select_optimizer(self, private) 10. └─BayesianOptimizer$new(...) 11. └─mlexperiments (local) initialize(...) ── Error ('test-surv_rpart_cox.R:108:5'): test nested cv, bayesian - surv_rpart_cox ── Error: Package "ParBayesianOptimization" must be installed to use 'strategy = "bayesian"'. Backtrace: ▆ 1. └─surv_rpart_cox_optimizer$execute() at test-surv_rpart_cox.R:108:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.fold_looper(self, private) 4. ├─base::do.call(private$cv_run_model, run_args) 5. └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`) 6. ├─base::do.call(.cv_run_nested_model, args) 7. └─mlexperiments (local) `<fn>`(...) 8. └─hparam_tuner$execute(k = self$k_tuning) 9. └─private$select_optimizer(self, private) 10. └─BayesianOptimizer$new(...) 11. └─mlexperiments (local) initialize(...) ── Error ('test-surv_xgboost_aft.R:121:3'): test nested cv, bayesian - surv_xgboost_aft ── Error: Package "ParBayesianOptimization" must be installed to use 'strategy = "bayesian"'. Backtrace: ▆ 1. └─surv_xgboost_aft_optimizer$execute() at test-surv_xgboost_aft.R:121:3 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.fold_looper(self, private) 4. ├─base::do.call(private$cv_run_model, run_args) 5. └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`) 6. ├─base::do.call(.cv_run_nested_model, args) 7. └─mlexperiments (local) `<fn>`(...) 8. └─hparam_tuner$execute(k = self$k_tuning) 9. └─private$select_optimizer(self, private) 10. └─BayesianOptimizer$new(...) 11. └─mlexperiments (local) initialize(...) ── Error ('test-surv_xgboost_cox.R:118:3'): test nested cv, bayesian - surv_xgboost_cox ── Error: Package "ParBayesianOptimization" must be installed to use 'strategy = "bayesian"'. Backtrace: ▆ 1. └─surv_xgboost_cox_optimizer$execute() at test-surv_xgboost_cox.R:118:3 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.fold_looper(self, private) 4. ├─base::do.call(private$cv_run_model, run_args) 5. └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`) 6. ├─base::do.call(.cv_run_nested_model, args) 7. └─mlexperiments (local) `<fn>`(...) 8. └─hparam_tuner$execute(k = self$k_tuning) 9. └─private$select_optimizer(self, private) 10. └─BayesianOptimizer$new(...) 11. └─mlexperiments (local) initialize(...) [ FAIL 5 | WARN 0 | SKIP 1 | PASS 9 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc