survxai

survxai: an R package for structure-agnostic explanations of survival models - Published in JOSS (2018)

https://github.com/mi2datalab/survxai

Science Score: 93.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 6 months ago · JSON representation

Repository

Explanations for survival models

Basic Info
Statistics
  • Stars: 15
  • Watchers: 6
  • Forks: 3
  • Open Issues: 1
  • Releases: 4
Created over 7 years ago · Last pushed over 3 years ago
Metadata Files
Readme Changelog Contributing License

README.md

diff ! Please note that the `survxai` package is not actively maintained. + Consider using the succeeding `survex` package. survex is available at https://github.com/modeloriented/survex.

survxai

CRAN_Status_Badge Total Downloads Build Status Coverage Status status CII Best Practices DOI

Survival analysis models are used primarily in medicine and churn analysis. Due to many applications, we are witnessing a fast development of a wide range of black-box survival models. Their lack of interpretability makes them unusable for analyzes that require an understanding of the model behavior.

An R package survxai is a tool for creating explanations of survival models. For both, complex and simple survival models. It also enables to compare them. Currently, four explanation methods are implemented. We can divide them into 2 groups: local and global.

The read more about the surxvai package see paper survxai: an R package for structure-agnostic explanations of survival models in The Journal of Open Source Software.

Install

devtools::install_github("MI2DataLab/survxai")

CheatSheet

News

Informations about changes in survxai relases can be found in NEWS.

How to contribute

Informations about creating issues and pull requests in survxai can be found in CONTRIBUTING.

Acknowledgments

Work on this package is financially supported by the 'NCN Opus grant 2016/21/B/ST6/02176'.

Owner

  • Name: MI^2 DataLab
  • Login: MI2DataLab
  • Kind: organization
  • Location: Warsaw, Poland

JOSS Publication

survxai: an R package for structure-agnostic explanations of survival models
Published
November 06, 2018
Volume 3, Issue 31, Page 961
Authors
Aleksandra Grudziaz ORCID
Faculty of Mathematics and Information Science, Warsaw University of Technology, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw
Alicja Gosiewska ORCID
Faculty of Mathematics and Information Science, Warsaw University of Technology
Przemyslaw Biecek ORCID
Faculty of Mathematics and Information Science, Warsaw University of Technology, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw
Editor
Yo Yehudi ORCID
Tags
survival analysis explainable artificial intelligence predictive modeling interpretable machine learning

GitHub Events

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Last synced: 7 months ago

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  • Total Commits: 137
  • Total Committers: 4
  • Avg Commits per committer: 34.25
  • Development Distribution Score (DDS): 0.496
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
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Top Committers
Name Email Commits
Aleksandra Grudziąż o****a@g****m 69
Alicja Gosiewska a****a@g****m 66
Mateusz Staniak m****t@m****l 1
Hubert Baniecki h****i@g****m 1
Committer Domains (Top 20 + Academic)

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Last synced: 6 months ago

All Time
  • Total issues: 26
  • Total pull requests: 1
  • Average time to close issues: 3 months
  • Average time to close pull requests: about 2 hours
  • Total issue authors: 8
  • Total pull request authors: 1
  • Average comments per issue: 0.77
  • Average comments per pull request: 1.0
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  • Bot issues: 0
  • Bot pull requests: 0
Past Year
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  • Average time to close pull requests: N/A
  • Issue authors: 0
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  • Average comments per issue: 0
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Top Authors
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  • pbiecek (12)
  • agosiewska (4)
  • dirmeier (3)
  • hiendn (2)
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Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
conda-forge.org: r-survxai
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Average: 45.9%
Stargazers count: 46.8%
Dependent packages count: 51.2%
Forks count: 51.6%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • prodlim * depends
  • breakDown * imports
  • ggplot2 * imports
  • pec * imports
  • scales * imports
  • survival * imports
  • survminer * imports
  • CFC * suggests
  • DALEX * suggests
  • covr * suggests
  • knitr * suggests
  • randomForestSRC * suggests
  • rmarkdown * suggests
  • rms * suggests
  • testthat * suggests
  • tibble * suggests