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

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: 0.0.3
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: 2024-03-08
DOI: NA
Author: Lorenz A. Kapsner ORCID iD [cre, aut, cph]
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
CRAN checks: mlsurvlrnrs results

Documentation:

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

Downloads:

Package source: mlsurvlrnrs_0.0.3.tar.gz
Windows binaries: r-devel: mlsurvlrnrs_0.0.3.zip, r-release: mlsurvlrnrs_0.0.3.zip, r-oldrel: mlsurvlrnrs_0.0.3.zip
macOS binaries: r-release (arm64): mlsurvlrnrs_0.0.3.tgz, r-oldrel (arm64): mlsurvlrnrs_0.0.3.tgz, r-release (x86_64): mlsurvlrnrs_0.0.3.tgz, r-oldrel (x86_64): mlsurvlrnrs_0.0.3.tgz
Old sources: mlsurvlrnrs archive

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