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mlsurvlrnrs

Survival learners for the `mlexperiments` R 📦

https://github.com/kapsner/mlsurvlrnrs

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
  • â—‹
    Committers with academic emails
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (11.8%) to scientific vocabulary

Keywords

algorithms cox-regression experiments glmnet learners machine-learning r r-package random-survival-forests survival survival-support-vector-machine xgboost
Last synced: 6 months ago · JSON representation

Repository

Survival learners for the `mlexperiments` R 📦

Basic Info
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Topics
algorithms cox-regression experiments glmnet learners machine-learning r r-package random-survival-forests survival survival-support-vector-machine xgboost
Created over 3 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog License

README.md

mlsurvlrnrs

CRAN checks Dependencies R build status R build status R build status <!-- badges: end -->

The goal of mlsurvlrnrs is to enhance the 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 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.

Installation

To install the development version, run

r install.packages("remotes") remotes::install_github("kapsner/mlsurvlrnrs")

Owner

  • Login: kapsner
  • Kind: user
  • Location: Erlangen, Germany

Medical Data Scientist.

GitHub Events

Total
  • Push event: 3
  • Create event: 1
Last Year
  • Push event: 3
  • Create event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 27
  • Total Committers: 2
  • Avg Commits per committer: 13.5
  • Development Distribution Score (DDS): 0.074
Past Year
  • Commits: 27
  • Committers: 2
  • Avg Commits per committer: 13.5
  • Development Distribution Score (DDS): 0.074
Top Committers
Name Email Commits
kapsner l****r@w****e 25
kapsner l****r@g****m 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: 8 months
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • kapsner (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 275 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: mlsurvlrnrs

R6-Based ML Survival Learners for 'mlexperiments'

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 275 Last month
Rankings
Dependent packages count: 28.6%
Dependent repos count: 35.1%
Average: 50.7%
Downloads: 88.4%
Maintainers (1)
lorenz.kapsner@gmail.com
Last synced: 6 months ago

Dependencies

.github/workflows/coverage.yml actions
  • actions/checkout v2 composite
  • actions/setup-java v1 composite
  • pat-s/always-upload-cache main composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-tinytex v2 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-java v1 composite
  • pat-s/always-upload-cache main composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-tinytex v2 composite
.github/workflows/tic.yml actions
  • actions/checkout v3 composite
  • actions/setup-java v1 composite
  • actions/upload-artifact v2 composite
  • pat-s/always-upload-cache v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-tinytex v2 composite
.github/workflows/update-tic.yml actions
  • actions/checkout v3 composite
  • peter-evans/create-pull-request v4 composite
  • r-lib/actions/setup-r v2 composite
DESCRIPTION cran
  • R >= 2.10 depends
  • R6 * imports
  • data.table * imports
  • kdry * imports
  • mlexperiments * imports
  • mllrnrs * imports
  • stats * imports
  • glmnet * suggests
  • knitr * suggests
  • lintr * suggests
  • mlbench * suggests
  • ranger * suggests
  • rpart * suggests
  • splitTools * suggests
  • survival * suggests
  • survivalsvm * suggests
  • testthat >= 3.0.1 suggests
  • xgboost * suggests