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:
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 |
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