Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners for survival analysis. The package provides R6-based survival learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'rpart' <https://CRAN.R-project.org/package=rpart>. These can be used directly with the 'mlexperiments' R package.
| Version: | 0.0.6 | 
| Depends: | R (≥ 4.1.0) | 
| Imports: | data.table, kdry, mlexperiments (≥ 0.0.7), mllrnrs, R6, stats | 
| Suggests: | glmnet, lintr, measures, ParBayesianOptimization, quarto, ranger, rpart, splitTools, survival, testthat (≥ 3.0.1), xgboost | 
| Published: | 2025-09-09 | 
| DOI: | 10.32614/CRAN.package.mlsurvlrnrs | 
| Author: | Lorenz A. Kapsner | 
| Maintainer: | Lorenz A. Kapsner <lorenz.kapsner at gmail.com> | 
| BugReports: | https://github.com/kapsner/mlsurvlrnrs/issues | 
| License: | GPL (≥ 3) | 
| URL: | https://github.com/kapsner/mlsurvlrnrs | 
| NeedsCompilation: | no | 
| SystemRequirements: | Quarto command line tools (https://github.com/quarto-dev/quarto-cli). | 
| CRAN checks: | mlsurvlrnrs results | 
| Reference manual: | mlsurvlrnrs.html , mlsurvlrnrs.pdf | 
| Vignettes: | glmnet: Survival Analysis (source, R code) ranger: Survival Analysis (source, R code) rpart: Survival Analysis (source, R code) xgboost: Survival Analysis, AFT Analysis (source, R code) xgboost: Survival Analysis, Cox Regression (source, R code) | 
| Package source: | mlsurvlrnrs_0.0.6.tar.gz | 
| Windows binaries: | r-devel: mlsurvlrnrs_0.0.6.zip, r-release: mlsurvlrnrs_0.0.6.zip, r-oldrel: mlsurvlrnrs_0.0.6.zip | 
| macOS binaries: | r-release (arm64): mlsurvlrnrs_0.0.6.tgz, r-oldrel (arm64): mlsurvlrnrs_0.0.6.tgz, r-release (x86_64): mlsurvlrnrs_0.0.6.tgz, r-oldrel (x86_64): mlsurvlrnrs_0.0.6.tgz | 
| Old sources: | mlsurvlrnrs archive | 
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