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olsrr: Tools for Building OLS Regression Models

Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.

Version: 0.6.1
Depends: R (≥ 3.3)
Imports: car, ggplot2, goftest, graphics, gridExtra, nortest, stats, utils, xplorerr
Suggests: covr, descriptr, knitr, rmarkdown, testthat, vdiffr
Published: 2024-11-06
DOI: 10.32614/CRAN.package.olsrr
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind at gmail.com>
BugReports: https://github.com/rsquaredacademy/olsrr/issues
License: MIT + file LICENSE
URL: https://olsrr.rsquaredacademy.com/, https://github.com/rsquaredacademy/olsrr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: olsrr results

Documentation:

Reference manual: olsrr.pdf
Vignettes: Heteroscedasticity (source, R code)
Measures of Influence (source, R code)
Introduction to olsrr (source, R code)
Media (source)
Collinearity Diagnostics, Model Fit & Variable Contribution (source, R code)
Residual Diagnostics (source, R code)
Variable Selection Methods (source, R code)

Downloads:

Package source: olsrr_0.6.1.tar.gz
Windows binaries: r-devel: olsrr_0.6.1.zip, r-release: olsrr_0.6.1.zip, r-oldrel: olsrr_0.6.1.zip
macOS binaries: r-release (arm64): olsrr_0.6.1.tgz, r-oldrel (arm64): olsrr_0.6.1.tgz, r-release (x86_64): olsrr_0.6.1.tgz, r-oldrel (x86_64): olsrr_0.6.1.tgz
Old sources: olsrr archive

Reverse dependencies:

Reverse imports: AFR, HanStat, SQI
Reverse suggests: xplorerr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=olsrr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.