https://github.com/kapsner/mlsurvlrnrs

Survival learners for the `mlexperiments` R 📦
https://github.com/kapsner/mlsurvlrnrs

algorithms cox-regression experiments glmnet learners machine-learning r r-package random-survival-forests survival survival-support-vector-machine xgboost

Last synced: 17 days ago
JSON representation

Survival learners for the `mlexperiments` R 📦

• Host: GitHub
• URL: https://github.com/kapsner/mlsurvlrnrs
• Owner: kapsner
• License: gpl-3.0
• Created: 2022-11-12T14:07:52.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-05T07:29:40.000Z (3 months ago)
• Last Synced: 2025-04-25T03:15:15.267Z (27 days ago)
• Topics: algorithms, cox-regression, experiments, glmnet, learners, machine-learning, r, r-package, random-survival-forests, survival, survival-support-vector-machine, xgboost
• Language: R
• Homepage: https://github.com/kapsner/mlsurvlrnrs/wiki
• Size: 121 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE.md

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README

        
# mlsurvlrnrs

[![](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)

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The goal of `mlsurvlrnrs` is to enhance the

[`mlexperiments`](https://github.com/kapsner/mlexperiments) R package

with survival learners.

Currently implemented learners are:

| Name | Based on | Description / Tasks |

|----|----|----|

| LearnerSurvCoxPHCox | `survival::coxph` | Cox Proportional Hazards Regression |

| LearnerSurvGlmnetCox | `glmnet::glmnet` | Regularized Cox Regression |

| LearnerSurvRangerCox | `ranger::ranger` | Random Survival Forest with right-censored data |

| LearnerSurvRpartCox | `rpart::rpart` | Random Survival Forest with right-censored data |

| LearnerSurvXgboostCox | `xgboost::xgb.train` | Cox Regression with right-censored data |

| LearnerSurvXgboostAft | `xgboost::xgb.train` | [Accelerated failure time models](https://xgboost.readthedocs.io/en/stable/tutorials/aft_survival_analysis.html) with right-censored data |

For a short introduction on how to use the learners together with the

`mlexperiments` R package, please visit the [wiki

page](https://github.com/kapsner/mlsurvlrnrs/wiki).

## Installation

To install the development version, run

``` r

install.packages("remotes")

remotes::install_github("kapsner/mlsurvlrnrs")

```