CRAN Package Check Results for Maintainer ‘Lorenz A. Kapsner <lorenz.kapsner at gmail.com>’

Last updated on 2024-07-24 12:21:27 CEST.

Package ERROR NOTE OK
autonewsmd 4 9
BiasCorrector 10 3
DQAgui 13
DQAstats 13
kdry 13
mlexperiments 2 11
mllrnrs 2 11
mlsurvlrnrs 13
rBiasCorrection 13
sjtable2df 1 12

Package autonewsmd

Current CRAN status: ERROR: 4, OK: 9

Version: 0.0.8
Check: tests
Result: ERROR Running ‘testthat.R’ [1s/3s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: Error in `find_quarto()`: Quarto command-line tools path not found! Please make sure you have installed and added Quarto to your PATH or set the QUARTO_PATH environment variable. Backtrace: ▆ 1. └─an$write(force = TRUE) at test-autonewsmd.R:83:3 2. └─autonewsmd:::write_autonewsmd(self, private, force, con) 3. └─quarto::quarto_render(input = template_file, output_format = "md") 4. └─quarto:::find_quarto() 5. └─cli::cli_abort(quarto_not_found_msg) 6. └─rlang::abort(...) [ FAIL 1 | WARN 0 | SKIP 1 | PASS 7 ] Error: Test failures Execution halted Flavors: r-release-macos-arm64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.0.8
Check: tests
Result: ERROR Running ‘testthat.R’ [1s/5s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: Error in `find_quarto()`: Quarto command-line tools path not found! Please make sure you have installed and added Quarto to your PATH or set the QUARTO_PATH environment variable. Backtrace: ▆ 1. └─an$write(force = TRUE) at test-autonewsmd.R:83:3 2. └─autonewsmd:::write_autonewsmd(self, private, force, con) 3. └─quarto::quarto_render(input = template_file, output_format = "md") 4. └─quarto:::find_quarto() 5. └─cli::cli_abort(quarto_not_found_msg) 6. └─rlang::abort(...) [ FAIL 1 | WARN 0 | SKIP 1 | PASS 7 ] Error: Test failures Execution halted Flavor: r-release-macos-x86_64

Version: 0.0.8
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘autonewsmd.Rmd’ ... > an$write(force = TRUE) When sourcing ‘autonewsmd.R’: Error: Quarto command-line tools path not found! Please make sure you have installed and added Quarto to your PATH or set the QUARTO_PATH environment variable. Execution halted ‘autonewsmd.Rmd’ using ‘UTF-8’... failed Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package BiasCorrector

Current CRAN status: NOTE: 10, OK: 3

Version: 0.2.2
Check: Rd files
Result: NOTE checkRd: (-1) module_calibrationfile_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_correctedplots_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_correctedstats_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_fileupload_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_info_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_log_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_modelselection_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_plotting_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_results_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_settings_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ checkRd: (-1) module_statistics_server.Rd:19: Lost braces; missing escapes or markup? 19 | expression: input_re = reactive({input})} | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

Package DQAgui

Current CRAN status: OK: 13

Package DQAstats

Current CRAN status: OK: 13

Package kdry

Current CRAN status: OK: 13

Package mlexperiments

Current CRAN status: ERROR: 2, OK: 11

Version: 0.0.4
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘mlexperiments_rpart_regression.qmd’ ... > preds_rpart <- mlexperiments::predictions(object = validator, + newdata = test_x) > preds_lm <- mlexperiments::predictions(object = validator_lm, + newdata = test_x) When sourcing ‘mlexperiments_rpart_regression.R’: Error: variable 'chas' was fitted with type "numeric" but type "factor" was supplied Execution halted ‘mlexperiments_knn_binary.qmd’ using ‘UTF-8’... [3s/10s] OK ‘mlexperiments_knn_multiclass.qmd’ using ‘UTF-8’... [25s/42s] OK ‘mlexperiments_rpart_binary.qmd’ using ‘UTF-8’... [4s/11s] OK ‘mlexperiments_rpart_multiclass.qmd’ using ‘UTF-8’... [49s/78s] OK ‘mlexperiments_rpart_regression.qmd’ using ‘UTF-8’... failed ‘mlexperiments_starter.qmd’ using ‘UTF-8’... [49s/82s] OK Flavor: r-oldrel-macos-arm64

Version: 0.0.4
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘mlexperiments_rpart_regression.qmd’ ... > preds_rpart <- mlexperiments::predictions(object = validator, + newdata = test_x) > preds_lm <- mlexperiments::predictions(object = validator_lm, + newdata = test_x) When sourcing ‘mlexperiments_rpart_regression.R’: Error: variable 'chas' was fitted with type "numeric" but type "factor" was supplied Execution halted ‘mlexperiments_knn_binary.qmd’ using ‘UTF-8’... [4s/20s] OK ‘mlexperiments_knn_multiclass.qmd’ using ‘UTF-8’... [36s/96s] OK ‘mlexperiments_rpart_binary.qmd’ using ‘UTF-8’... [5s/22s] OK ‘mlexperiments_rpart_multiclass.qmd’ using ‘UTF-8’... [66s/151s] OK ‘mlexperiments_rpart_regression.qmd’ using ‘UTF-8’... failed ‘mlexperiments_starter.qmd’ using ‘UTF-8’... [64s/140s] OK Flavor: r-oldrel-macos-x86_64

Package mllrnrs

Current CRAN status: ERROR: 2, OK: 11

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [22s/151s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: 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. └─mlexperiments:::.run_tuning(self = self, private = private, optimizer = optimizer) 10. └─mlexperiments:::.run_optimizer(...) 11. └─optimizer$execute(x = private$x, y = private$y, method_helper = private$method_helper) 12. ├─base::do.call(...) 13. └─mlexperiments (local) `<fn>`(...) 14. ├─base::do.call(ParBayesianOptimization::bayesOpt, args) 15. └─ParBayesianOptimization (local) `<fn>`(...) [ FAIL 5 | WARN 1 | SKIP 1 | PASS 34 ] Error: Test failures Execution halted Flavor: r-oldrel-macos-arm64

Version: 0.0.4
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘mllrnrs_glmnet_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_glmnet_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted when running code in ‘mllrnrs_lightgbm_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_lightgbm_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted when running code in ‘mllrnrs_ranger_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_ranger_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted when running code in ‘mllrnrs_xgboost_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_xgboost_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted ‘mllrnrs_glmnet_binary.qmd’ using ‘UTF-8’... [6s/71s] OK ‘mllrnrs_glmnet_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_glmnet_regression.qmd’ using ‘UTF-8’... [4s/50s] OK ‘mllrnrs_lightgbm_binary.qmd’ using ‘UTF-8’... [4s/19s] OK ‘mllrnrs_lightgbm_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_lightgbm_regression.qmd’ using ‘UTF-8’... [36s/56s] OK ‘mllrnrs_ranger_binary.qmd’ using ‘UTF-8’... [8s/15s] OK ‘mllrnrs_ranger_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_ranger_regression.qmd’ using ‘UTF-8’... [10s/16s] OK ‘mllrnrs_xgboost_binary.qmd’ using ‘UTF-8’... [4s/18s] OK ‘mllrnrs_xgboost_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_xgboost_regression.qmd’ using ‘UTF-8’... [6s/20s] OK Flavor: r-oldrel-macos-arm64

Version: 0.0.4
Check: tests
Result: ERROR Running ‘testthat.R’ [25s/191s] Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output: 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. └─mlexperiments:::.run_tuning(self = self, private = private, optimizer = optimizer) 10. └─mlexperiments:::.run_optimizer(...) 11. └─optimizer$execute(x = private$x, y = private$y, method_helper = private$method_helper) 12. ├─base::do.call(...) 13. └─mlexperiments (local) `<fn>`(...) 14. ├─base::do.call(ParBayesianOptimization::bayesOpt, args) 15. └─ParBayesianOptimization (local) `<fn>`(...) [ FAIL 5 | WARN 1 | SKIP 1 | PASS 34 ] Error: Test failures Execution halted Flavor: r-oldrel-macos-x86_64

Version: 0.0.4
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘mllrnrs_glmnet_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_glmnet_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted when running code in ‘mllrnrs_lightgbm_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_lightgbm_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted when running code in ‘mllrnrs_ranger_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_ranger_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted when running code in ‘mllrnrs_xgboost_multiclass.qmd’ ... > validator$set_data(x = train_x, y = train_y) > validator_results <- validator$execute() CV fold: Fold1 When sourcing ‘mllrnrs_xgboost_multiclass.R’: Error: late fail: `case_weights` must be of same length as `y` Execution halted ‘mllrnrs_glmnet_binary.qmd’ using ‘UTF-8’... [6s/72s] OK ‘mllrnrs_glmnet_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_glmnet_regression.qmd’ using ‘UTF-8’... [6s/71s] OK ‘mllrnrs_lightgbm_binary.qmd’ using ‘UTF-8’... [7s/40s] OK ‘mllrnrs_lightgbm_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_lightgbm_regression.qmd’ using ‘UTF-8’... [52s/83s] OK ‘mllrnrs_ranger_binary.qmd’ using ‘UTF-8’... [11s/22s] OK ‘mllrnrs_ranger_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_ranger_regression.qmd’ using ‘UTF-8’... [14s/29s] OK ‘mllrnrs_xgboost_binary.qmd’ using ‘UTF-8’... [6s/33s] OK ‘mllrnrs_xgboost_multiclass.qmd’ using ‘UTF-8’... failed ‘mllrnrs_xgboost_regression.qmd’ using ‘UTF-8’... [8s/27s] OK Flavor: r-oldrel-macos-x86_64

Package mlsurvlrnrs

Current CRAN status: OK: 13

Package rBiasCorrection

Current CRAN status: OK: 13

Package sjtable2df

Current CRAN status: ERROR: 1, OK: 12

Version: 0.0.3
Check: tests
Result: ERROR Running 'testthat.R' [11s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(sjtable2df) > > test_check("sjtable2df") boundary (singular) fit: see help('isSingular') boundary (singular) fit: see help('isSingular') boundary (singular) fit: see help('isSingular') boundary (singular) fit: see help('isSingular') [ FAIL 1 | WARN 5 | SKIP 5 | PASS 18 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (5): 'test-mtab2df.R:48:5', 'test-mtab2df.R:136:5', 'test-xtab2df.R:36:5', 'test-xtab2df.R:206:5', 'test-xtab2df.R:253:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-mtab2df.R:134:5'): correct functioning of mtab2df: glmer ───── nrow(final_tab) == 10 is not TRUE `actual`: FALSE `expected`: TRUE [ FAIL 1 | WARN 5 | SKIP 5 | PASS 18 ] Error: Test failures Execution halted Flavor: r-oldrel-windows-x86_64