Regression, Inference, and General Data Analysis Tools in R
Overview
A set of tools to streamline data analysis. Learning both R and introductory statistics at the same time can be challenging, and so we created 'rigr' to facilitate common data analysis tasks and enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. 'rigr' output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-20
- ERROR11 OK, 2 ERROR2026-05-25
- OK14 OK2026-04-09
Show 1 earlier changeHide 1 earlier change
- ERROR10 OK, 4 ERROR2026-03-10
Documentation
- Help pages
- 25includes a package overview page
- Examples that run
- 100%14 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 87%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 87%
- Median days to close, 50 most recently updated closed issues
- 46
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
10 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/statdivlab/rigr on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-06-16 · The repository has a site deploy workflow
pkgdown site last built 2026-06-16
Show all practicesHide 2 practices
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.0.10Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.92026-04-03 · diff ↗
- unarchivedReturned to CRAN2025-09-02
- 1.0.82025-09-02 · diff ↗
- archivedRemoved from CRAN2025-05-20policy violation On Internet access
- 1.0.72025-04-18 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.42022-09-06 · diff ↗
- 1.0.32022-06-08 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.12021-09-15
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-09-15
- Total releases
- 7 / 5 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 77 KB / 4 files
- Download size
- 213 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("rigr")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.