Science Score: 23.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    3 of 3 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: NiklasPfister
  • License: agpl-3.0
  • Language: R
  • Default Branch: master
  • Size: 5.42 MB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Created over 6 years ago · Last pushed about 4 years ago
Metadata Files
Readme License

README.md

StabilizedRegression-R

Implementation of StabilizedRegression, a framework for multi-environment regression. Analyzes the functional dependence of the response on a set of predictors and assess whether this functional relationship remains stable or unstable across different environments.

N. Pfister, E. Williams, R. Aebersold, P. Bühlmann: Stabilizing Variable Selection and Regression. Annals of Applied Statistics, 15(3):1220-1246. https://doi.org/10.1214/21-AOAS1487

Getting started

The package is available on CRAN. To install and load the package use the following command: R install.packages(StabilizedRegression) library(StabilizedRegression)

The main functions are StabilizedRegression(), which performs a multi-environment regression.

R help(StabilizedRegression) example(StabilizedRegression)

The diagnostic plots can be created by using the function SRanalysis(). This will generate an object of class 'SRanalysis' which can then be plotted with using the plot function.

R help(SRanalysis) example(SRanalysis)

Owner

  • Login: NiklasPfister
  • Kind: user

GitHub Events

Total
Last Year

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 35
  • Total Committers: 3
  • Avg Commits per committer: 11.667
  • Development Distribution Score (DDS): 0.257
Top Committers
Name Email Commits
Niklas Pfister p****i@s****h 26
NiklasPfister n****r@s****h 8
Niklas Pfister np@m****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • fumi-github (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 196 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: StabilizedRegression

Stabilizing Regression and Variable Selection

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 196 Last month
Rankings
Forks count: 17.8%
Stargazers count: 28.5%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 36.0%
Downloads: 68.4%
Maintainers (1)
Last synced: 11 months ago

Dependencies

StabilizedRegression/DESCRIPTION cran
  • R >= 3.5 depends
  • MASS * imports
  • R6 * imports
  • corpcor * imports
  • ggplot2 * imports
  • ggrepel * imports
  • glmnet * imports