Package: mllrnrs Title: R6-Based ML 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. The package provides R6-based learners for the following algorithms: 'glmnet' , 'ranger' , 'xgboost' , and 'lightgbm' . These can be used directly with the 'mlexperiments' R package. License: GPL (>= 3) URL: https://github.com/kapsner/mllrnrs BugReports: https://github.com/kapsner/mllrnrs/issues Depends: R (>= 4.1.0) Imports: data.table, kdry, mlexperiments (>= 1.0.0), R6, stats Suggests: glmnet, lightgbm (>= 4.0.0), lintr, measures, mlbench, parallel, quarto, ranger, rBayesianOptimization, splitTools, 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: 2026-01-16 20:25:10 UTC RemoteUrl: https://github.com/kapsner/mllrnrs RemoteRef: HEAD RemoteSha: fee2c9d9eb9b60e76c7cc93ad27becacf17a924d NeedsCompilation: no Packaged: 2026-06-17 08:09:09 UTC; root Author: Lorenz A. Kapsner [cre, aut, cph] (ORCID: ) Maintainer: Lorenz A. Kapsner