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RESI

https://github.com/statimagcoll/resi

Science Score: 39.0%

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 6 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (16.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 5
  • Releases: 0
Created over 5 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# RESI 


[![CRAN status](https://www.r-pkg.org/badges/version/RESI)](https://CRAN.R-project.org/package=RESI)
[![Website](https://img.shields.io/badge/Website-RESI-blue)](https://statimagcoll.github.io/RESI/) 


RESI is an R package designed to implement the Robust Effect Size Index (RESI, denoted as S) described in Vandekar, Tao, & Blume (2020). The RESI is a versatile effect size measure that can be easily computed and added to common reports (such as summary and ANOVA tables). This package currently supports lm, glm, nls, survreg, coxph, hurdle, zeroinfl, gee, geeglm, lme, and lmerMod models. Nonparametric bootstrapping is used to compute confidence intervals, although the interval performance has not yet been evaluated for the longitudinal models. A Bayesian bootstrap is also available for lm and nls models. In addition to the main resi function, the package also includes a point-estimate-only function (resi_pe), conversions from S to other common effect size measures and vice versa, print methods, plot methods, summary methods, and Anova/anova methods. A more detailed vignette is being written.

If you would like to contribute to the package, please branch off of our [GitHub](https://github.com/statimagcoll/RESI) and submit a pull request describing the contribution. Please use the [GitHub Issues](https://github.com/statimagcoll/RESI/issues) page to report any problems and the [Discussions](https://github.com/statimagcoll/RESI/discussions/categories/q-a) page to seek additional support.


## References

Jones M, Kang K, Vandekar S (2025). RESI: An R Package for Robust Effect Sizes.  Journal of Statistical Software, 112(3), 1–27.  https://doi.org/10.18637/jss.v112.i03.

Kang, K., Jones, M. T., Armstrong, K., Avery, S., McHugo, M., Heckers, S., & Vandekar, S. Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices. Psychometrika. 2023. 10.1007/s11336-022-09899-x. Advance online publication. https://doi.org/10.1007/s11336-022-09899-x.

Vandekar S, Tao R, Blume J. A Robust Effect Size Index. Psychometrika. 2020 Mar;85(1):232-246. doi: 10.1007/s11336-020-09698-2.

Owner

  • Name: statimagcoll
  • Login: statimagcoll
  • Kind: organization

GitHub Events

Total
  • Issues event: 8
  • Watch event: 1
  • Delete event: 5
  • Member event: 1
  • Issue comment event: 3
  • Push event: 41
  • Pull request event: 12
  • Create event: 6
Last Year
  • Issues event: 8
  • Watch event: 1
  • Delete event: 5
  • Member event: 1
  • Issue comment event: 3
  • Push event: 41
  • Pull request event: 12
  • Create event: 6

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 6
  • Total pull requests: 9
  • Average time to close issues: over 2 years
  • Average time to close pull requests: 16 minutes
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.67
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 9
  • Average time to close issues: N/A
  • Average time to close pull requests: 16 minutes
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • MeganTJ21 (5)
  • simonvandekar (4)
  • KaidiK (1)
  • mlotinga (1)
Pull Request Authors
  • MeganTJ21 (5)
  • giyu77 (3)
Top Labels
Issue Labels
hard (2) medium (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 437 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 7
  • Total maintainers: 1
cran.r-project.org: RESI

Robust Effect Size Index (RESI) Estimation

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 437 Last month
Rankings
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 39.5%
Downloads: 53.3%
Maintainers (1)
megan.n.taylor@vanderbilt.edu
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.10 depends
  • aod * imports
  • buildmer * imports
  • car * imports
  • clubSandwich * imports
  • lme4 * imports
  • lmtest * imports
  • mvtnorm * imports
  • nlme * imports
  • parallel * imports
  • pracma * imports
  • regtools * imports
  • sandwich * imports
  • splines * suggests
  • testthat * suggests
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite