mlsurvlrnrs: R6-Based ML Survival Learners for 'mlexperiments'

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.

Version: 0.0.2
Depends: R (≥ 2.10)
Imports: data.table, kdry, mlexperiments, mllrnrs, R6, stats
Suggests: glmnet, knitr, lintr, mlr3measures, ParBayesianOptimization, ranger, rpart, splitTools, survival, testthat (≥ 3.0.1), xgboost
Published: 2023-08-12
Author: Lorenz A. Kapsner ORCID iD [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: mlsurvlrnrs results


Reference manual: mlsurvlrnrs.pdf
Vignettes: glmnet: Survival Analysis
ranger: Survival Analysis
rpart: Survival Analysis
xgboost: Survival Analysis, AFT Analysis
xgboost: Survival Analysis, Cox Regression


Package source: mlsurvlrnrs_0.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlsurvlrnrs_0.0.2.tgz, r-oldrel (arm64): mlsurvlrnrs_0.0.2.tgz, r-release (x86_64): mlsurvlrnrs_0.0.2.tgz, r-oldrel (x86_64): mlsurvlrnrs_0.0.2.tgz


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