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