CRAN Package Check Results for Package mlsurvlrnrs

Last updated on 2025-09-09 20:50:57 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.0.5	6.41	173.98	180.39	ERROR
r-devel-linux-x86_64-debian-gcc	0.0.5	4.23	145.69	149.92	ERROR
r-devel-linux-x86_64-fedora-clang	0.0.6			241.27	OK
r-devel-linux-x86_64-fedora-gcc	0.0.6			353.81	OK
r-devel-windows-x86_64	0.0.5	8.00	338.00	346.00	OK
r-patched-linux-x86_64	0.0.5	6.64	232.10	238.74	OK
r-release-linux-x86_64	0.0.5	6.50	230.31	236.81	OK
r-release-macos-arm64	0.0.6			122.00	OK
r-release-macos-x86_64	0.0.6			255.00	OK
r-release-windows-x86_64	0.0.5	8.00	338.00	346.00	OK
r-oldrel-macos-arm64	0.0.6			125.00	OK
r-oldrel-macos-x86_64	0.0.6			281.00	OK
r-oldrel-windows-x86_64	0.0.5	11.00	471.00	482.00	OK

Check Details

Version: 0.0.5
Check: examples
Result: ERROR Running examples in ‘mlsurvlrnrs-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: LearnerSurvCoxPHCox > ### Title: R6 Class to construct a Cox proportional hazards survival > ### learner > ### Aliases: LearnerSurvCoxPHCox > > ### ** Examples > > # survival analysis > > dataset <- survival::colon |> + data.table::as.data.table() |> + na.omit() > dataset <- dataset[get("etype") == 2, ] > > seed <- 123 > surv_cols <- c("status", "time", "rx") > > feature_cols <- colnames(dataset)[3:(ncol(dataset) - 1)] > > split_vector <- splitTools::multi_strata( + df = dataset[, .SD, .SDcols = surv_cols], + strategy = "kmeans", + k = 4 + ) > > train_x <- model.matrix( + ~ -1 + ., + dataset[, .SD, .SDcols = setdiff(feature_cols, surv_cols[1:2])] + ) > train_y <- survival::Surv( + event = (dataset[, get("status")] |> + as.character() |> + as.integer()), + time = dataset[, get("time")], + type = "right" + ) > > fold_list <- splitTools::create_folds( + y = split_vector, + k = 3, + type = "stratified", + seed = seed + ) > > > surv_coxph_cox_optimizer <- mlexperiments::MLCrossValidation$new( + learner = LearnerSurvCoxPHCox$new(), + fold_list = fold_list, + ncores = 1L, + seed = seed + ) > surv_coxph_cox_optimizer$performance_metric <- c_index > > # set data > surv_coxph_cox_optimizer$set_data( + x = train_x, + y = train_y + ) > > surv_coxph_cox_optimizer$execute() 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'. Error: Package "measures" must be installed to use function 'metric_types_helper()'. Execution halted Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.0.5
Check: tests
Result: ERROR Running ‘testthat.R’ [107s/357s] 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 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 9.369 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.842 seconds 3) Running FUN 2 times in 2 thread(s)... 1.597 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 8.916 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.764 seconds 3) Running FUN 2 times in 2 thread(s)... 1.55 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 10.102 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.473 seconds 3) Running FUN 2 times in 2 thread(s)... 1.452 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.69 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... 10.003 seconds 3) Running FUN 2 times in 2 thread(s)... 0.646 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.522 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 20.965 seconds 3) Running FUN 2 times in 2 thread(s)... 0.58 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 7.409 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... 1.365 seconds 3) Running FUN 2 times in 2 thread(s)... 0.626 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.839 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.711 seconds 3) Running FUN 2 times in 2 thread(s)... 0.597 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.409 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.88 seconds 3) Running FUN 2 times in 2 thread(s)... 0.642 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.283 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.802 seconds 3) Running FUN 2 times in 2 thread(s)... 0.861 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.326 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 16.062 seconds 3) Running FUN 2 times in 2 thread(s)... 0.692 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 8.458 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 18.544 seconds 3) Running FUN 2 times in 2 thread(s)... 1.018 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.263 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.886 seconds 3) Running FUN 2 times in 2 thread(s)... 0.564 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.434 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... - Maximum convergence attempts exceeded - process is probably sampling random points. 75.664 seconds 3) Running FUN 2 times in 2 thread(s)... 0.532 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 4.987 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 12.788 seconds 3) Running FUN 2 times in 2 thread(s)... 0.384 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 4.657 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.726 seconds 3) Running FUN 2 times in 2 thread(s)... 0.437 seconds [ FAIL 6 | WARN 0 | SKIP 1 | PASS 0 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-surv_coxph_cox.R:56:5'): test cv - surv_coxph_cox ────────────── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_coxph_cox_optimizer$execute() at test-surv_coxph_cox.R:56:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_glmnet_cox.R:99:5'): test nested cv, grid - surv_glmnet_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_glmnet_cox_optimizer$execute() at test-surv_glmnet_cox.R:99:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_ranger_cox.R:110:5'): test nested cv, bayesian - surv_ranger_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_ranger_cox_optimizer$execute() at test-surv_ranger_cox.R:110:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_rpart_cox.R:108:5'): test nested cv, bayesian - surv_rpart_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_rpart_cox_optimizer$execute() at test-surv_rpart_cox.R:108:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_xgboost_aft.R:116:5'): test nested cv, bayesian - surv_xgboost_aft ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_xgboost_aft_optimizer$execute() at test-surv_xgboost_aft.R:116:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_xgboost_cox.R:115:5'): test nested cv, bayesian - surv_xgboost_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_xgboost_cox_optimizer$execute() at test-surv_xgboost_cox.R:115:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) [ FAIL 6 | WARN 0 | SKIP 1 | PASS 0 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.0.5
Check: tests
Result: ERROR Running ‘testthat.R’ [94s/298s] 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 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 5.125 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.984 seconds 3) Running FUN 2 times in 2 thread(s)... 0.822 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 5.191 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.263 seconds 3) Running FUN 2 times in 2 thread(s)... 1.399 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 5.006 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.847 seconds 3) Running FUN 2 times in 2 thread(s)... 0.863 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.691 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... 7.983 seconds 3) Running FUN 2 times in 2 thread(s)... 0.636 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.145 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 14.412 seconds 3) Running FUN 2 times in 2 thread(s)... 0.859 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.616 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... 0.8 seconds 3) Running FUN 2 times in 2 thread(s)... 0.565 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.562 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.545 seconds 3) Running FUN 2 times in 2 thread(s)... 0.842 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.148 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.608 seconds 3) Running FUN 2 times in 2 thread(s)... 0.646 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.261 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.778 seconds 3) Running FUN 2 times in 2 thread(s)... 0.582 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 6.907 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 10.405 seconds 3) Running FUN 2 times in 2 thread(s)... 0.529 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.434 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.589 seconds 3) Running FUN 2 times in 2 thread(s)... 0.562 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 8.465 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.743 seconds 3) Running FUN 2 times in 2 thread(s)... 0.766 seconds CV fold: Fold1 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 4.776 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... - Maximum convergence attempts exceeded - process is probably sampling random points. 82.083 seconds 3) Running FUN 2 times in 2 thread(s)... 0.701 seconds CV fold: Fold2 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.135 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 9.183 seconds 3) Running FUN 2 times in 2 thread(s)... 0.602 seconds CV fold: Fold3 Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'... ... reducing initialization grid to 10 rows. Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 4.436 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.433 seconds 3) Running FUN 2 times in 2 thread(s)... 0.538 seconds [ FAIL 6 | WARN 0 | SKIP 1 | PASS 0 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-surv_coxph_cox.R:56:5'): test cv - surv_coxph_cox ────────────── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_coxph_cox_optimizer$execute() at test-surv_coxph_cox.R:56:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_glmnet_cox.R:99:5'): test nested cv, grid - surv_glmnet_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_glmnet_cox_optimizer$execute() at test-surv_glmnet_cox.R:99:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_ranger_cox.R:110:5'): test nested cv, bayesian - surv_ranger_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_ranger_cox_optimizer$execute() at test-surv_ranger_cox.R:110:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_rpart_cox.R:108:5'): test nested cv, bayesian - surv_rpart_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_rpart_cox_optimizer$execute() at test-surv_rpart_cox.R:108:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_xgboost_aft.R:116:5'): test nested cv, bayesian - surv_xgboost_aft ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_xgboost_aft_optimizer$execute() at test-surv_xgboost_aft.R:116:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) ── Error ('test-surv_xgboost_cox.R:115:5'): test nested cv, bayesian - surv_xgboost_cox ── Error: Package "measures" must be installed to use function 'metric_types_helper()'. Backtrace: ▆ 1. └─surv_xgboost_cox_optimizer$execute() at test-surv_xgboost_cox.R:115:5 2. └─mlexperiments:::.run_cv(self = self, private = private) 3. └─mlexperiments:::.cv_postprocessing(...) 4. └─mlexperiments:::.compute_performance(...) 5. └─base::sapply(...) 6. └─base::lapply(X = X, FUN = FUN, ...) 7. └─mlexperiments (local) FUN(X[[i]], ...) 8. └─mlexperiments::metric_types_helper(...) [ FAIL 6 | WARN 0 | SKIP 1 | PASS 0 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc