{"id":32203767,"url":"https://github.com/statdivlab/rigr","last_synced_at":"2026-02-23T05:02:13.877Z","repository":{"id":43423485,"uuid":"355093544","full_name":"statdivlab/rigr","owner":"statdivlab","description":"Regression, Inference, and General Data Analysis Tools for R ","archived":false,"fork":false,"pushed_at":"2025-10-02T22:43:45.000Z","size":6231,"stargazers_count":10,"open_issues_count":20,"forks_count":4,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-12-03T19:46:49.811Z","etag":null,"topics":["regression","statistics"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/statdivlab.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2021-04-06T07:12:55.000Z","updated_at":"2025-11-03T18:27:22.000Z","dependencies_parsed_at":"2024-06-18T23:03:43.718Z","dependency_job_id":"728e43fa-88bc-4ae2-9783-6ea50ba3319e","html_url":"https://github.com/statdivlab/rigr","commit_stats":{"total_commits":298,"total_committers":8,"mean_commits":37.25,"dds":0.6208053691275168,"last_synced_commit":"a4489c8778f5f93338eae2450822cf6317c81e80"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/statdivlab/rigr","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statdivlab%2Frigr","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statdivlab%2Frigr/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statdivlab%2Frigr/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statdivlab%2Frigr/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/statdivlab","download_url":"https://codeload.github.com/statdivlab/rigr/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statdivlab%2Frigr/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29738083,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-23T04:51:08.365Z","status":"ssl_error","status_checked_at":"2026-02-23T04:49:15.865Z","response_time":90,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["regression","statistics"],"created_at":"2025-10-22T04:45:50.412Z","updated_at":"2026-02-23T05:02:13.862Z","avatar_url":"https://github.com/statdivlab.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n\u003c!-- badges: start  --\u003e\n\n[![CRAN status](https://www.r-pkg.org/badges/version/rigr)](https://CRAN.R-project.org/package=rigr) [![R-CMD-check](https://github.com/statdivlab/rigr/workflows/R-CMD-check/badge.svg)](https://github.com/statdivlab/rigr/actions) [![codecov](https://codecov.io/gh/statdivlab/rigr/branch/main/graph/badge.svg)](https://app.codecov.io/gh/statdivlab/rigr)\n\n\u003c!-- badges: end --\u003e\n\n# `rigr`: Regression, Inference, and General Data Analysis Tools for R\n\n## Introduction\n\n`rigr` is an `R` package to streamline data analysis in `R`. 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.\n\n`rigr`, formerly known as [`uwIntroStats`](https://CRAN.R-project.org/package=uwIntroStats), provides 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. Heteroskedasticity-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 (`regress()`) can fit both linear models, generalized linear models, and proportional hazards models, allowing students to more easily make connections between different classes of models.\n\n## Installation\n\nYou can install the stable release of `rigr` from CRAN as follows:\n\n    install.packages(\"rigr\")\n\nYou can install the development version of `rigr` from GitHub using the code below. The installment is through the `R` package `remotes`.\n\n```{r, echo=FALSE}\n  # run the following code to make sure that the remote package it installed\n  if (!requireNamespace(\"remotes\", quietly = TRUE)) {\n    install.package(\"remotes\")\n  }\n  # install the package\n  remotes::install_github(\"statdivlab/rigr\")\n```\n\nIf this produces an error, please run `install.packages(\"remotes\")` first then try the above line again.\n\n`rigr` is maintained by the [StatDivLab](https://statdivlab.github.io/), but relies on community support to log issues and implement new features. Is there a method you would like to have implemented? Please submit a pull request or start a [discussion](https://github.com/statdivlab/rigr/discussions/)!\n\n## Documentation\n\nExamples of how to use the main functions in `rigr` are provided in three vignettes. One details the `regress` function and its utilities, one details the `descrip` function for descriptive statistics, and the third details functions used for one- and two-sample inference, including `ttest`, `wilcoxon`, and `proptest`.\n\n## Humans\n\nMaintainer: [Amy Willis](https://statdivlab.github.io/)\n\nAuthors: [Scott S Emerson](http://www.emersonstatistics.com/), [Brian D Williamson](https://bdwilliamson.github.io/), [Charles Wolock](https://cwolock.github.io/), [Taylor Okonek](https://taylorokonek.github.io/), [Yiqun T Chen](https://yiqunchen.github.io/), [Jim Hughes](https://www.biostat.washington.edu/people/james-hughes), [Amy Willis](https://statdivlab.github.io/), [Andrew J Spieker](https://www.vumc.org/biostatistics/person/andrew-spieker) and Travis Y Hee Wai.\n\n## Issues\n\nIf you encounter any **bugs**, please [file an issue](https://github.com/statdivlab/rigr/issues/). Better yet, [submit a pull request](https://github.com/statdivlab/rigr/pulls/)!\n\nDo you have a **question**? Please first check out the vignettes, then please post on the [Discussions](https://github.com/statdivlab/rigr/discussions/).\n\n## Code of Conduct\n\nPlease note that the rigr project is released with a [Contributor Code of Conduct](https://statdivlab.github.io/rigr/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstatdivlab%2Frigr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstatdivlab%2Frigr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstatdivlab%2Frigr/lists"}