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:	0.5.3
Depends:	R (≥ 3.3)
Imports:	car, data.table, ggplot2, goftest, graphics, gridExtra, nortest, Rcpp, stats, utils
LinkingTo:	Rcpp
Suggests:	covr, descriptr, knitr, rmarkdown, testthat, vdiffr, xplorerr
Published:	2020-02-10
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:	yes
Materials:	README NEWS
CRAN checks:	olsrr results

Documentation:

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

Downloads:

Package source:	olsrr_0.5.3.tar.gz
Windows binaries:	r-devel: olsrr_0.5.3.zip, r-release: olsrr_0.5.3.zip, r-oldrel: olsrr_0.5.3.zip
macOS binaries:	r-release (arm64): olsrr_0.5.3.tgz, r-oldrel (arm64): olsrr_0.5.3.tgz, r-release (x86_64): olsrr_0.5.3.tgz, r-oldrel (x86_64): olsrr_0.5.3.tgz
Old sources:	olsrr archive

Reverse dependencies:

Reverse imports:	AFR
Reverse suggests:	xplorerr

Linking:

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