CRAN/E | mlsurvlrnrs

mlsurvlrnrs

R6-Based ML Survival Learners for 'mlexperiments'

Installation

About

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.

github.com/kapsner/mlsurvlrnrs
Bug report File report

Key Metrics

Version 0.0.3
R ≥ 2.10
Published 2024-03-08 56 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks mlsurvlrnrs results

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Maintainer

Maintainer

Lorenz A. Kapsner

lorenz.kapsner@gmail.com

Authors

Lorenz A. Kapsner

cre / aut / cph

Material

Reference manual
Package source

Vignettes

glmnet: Survival Analysis
ranger: Survival Analysis
rpart: Survival Analysis
xgboost: Survival Analysis, AFT Analysis
xgboost: Survival Analysis, Cox Regression

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mlsurvlrnrs archive

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