Package: mlsurvlrnrs Title: R6-Based ML Survival Learners for 'mlexperiments' Version: 0.0.8 Authors@R: person("Lorenz A.", "Kapsner", , "lorenz.kapsner@gmail.com", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0003-1866-860X")) Description: Enhances 'mlexperiments' with additional machine learning ('ML') learners for survival analysis. The package provides R6-based survival learners for the following algorithms: 'glmnet' , 'ranger' , 'xgboost' , and 'rpart' . These can be used directly with the 'mlexperiments' R package. License: GPL (>= 3) URL: https://github.com/kapsner/mlsurvlrnrs BugReports: https://github.com/kapsner/mlsurvlrnrs/issues Depends: R (>= 4.1.0) Imports: data.table, kdry, mlexperiments (>= 1.0.0), mllrnrs (>= 0.0.8), R6, stats Suggests: glmnet, lintr, measures, parallel, quarto, ranger, rBayesianOptimization, rpart, splitTools, survival, testthat (>= 3.0.1), xgboost (>= 3.1.2.1) VignetteBuilder: quarto Config/testthat/edition: 3 Config/testthat/parallel: false Encoding: UTF-8 Roxygen: list(markdown = TRUE) SystemRequirements: Quarto command line tools (https://github.com/quarto-dev/quarto-cli). RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://kapsner.r-universe.dev Date/Publication: 2026-01-17 10:30:22 UTC RemoteUrl: https://github.com/kapsner/mlsurvlrnrs RemoteRef: HEAD RemoteSha: 3da26c3d4b7891ea8ec4e092e45a06fe500e8e16 NeedsCompilation: no Packaged: 2026-06-17 08:17:00 UTC; root Author: Lorenz A. Kapsner [cre, aut, cph] (ORCID: ) Maintainer: Lorenz A. Kapsner