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:	0.0.4
Depends:	R (≥ 3.6)
Imports:	data.table, kdry, mlexperiments, mllrnrs, R6, stats
Suggests:	glmnet, lintr, mlr3measures, ParBayesianOptimization, quarto, ranger, rpart, splitTools, survival, testthat (≥ 3.0.1), xgboost
Published:	2024-07-05
DOI:	10.32614/CRAN.package.mlsurvlrnrs
Author:	Lorenz A. Kapsner [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
SystemRequirements:	Quarto command line tools (https://github.com/quarto-dev/quarto-cli).
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_0.0.4.tar.gz
Windows binaries:	r-devel: mlsurvlrnrs_0.0.4.zip, r-release: mlsurvlrnrs_0.0.4.zip, r-oldrel: mlsurvlrnrs_0.0.4.zip
macOS binaries:	r-release (arm64): mlsurvlrnrs_0.0.4.tgz, r-oldrel (arm64): mlsurvlrnrs_0.0.4.tgz, r-release (x86_64): mlsurvlrnrs_0.0.4.tgz, r-oldrel (x86_64): mlsurvlrnrs_0.0.4.tgz
Old sources:	mlsurvlrnrs archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlsurvlrnrs to link to this page.