CRAN/E | olsrr

olsrr

Tools for Building OLS Regression Models

Installation

About

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.

olsrr.rsquaredacademy.com/
github.com/rsquaredacademy/olsrr
Bug report File report

Key Metrics

Version 0.6.0
R ≥ 3.3
Published 2024-02-12 77 days ago
Needs compilation? no
License MIT
License File
CRAN checks olsrr results

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Maintainer

Maintainer

Aravind Hebbali

hebbali.aravind@gmail.com

Authors

Aravind Hebbali

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Heteroscedasticity
Measures of Influence
Introduction to olsrr
Media
Collinearity Diagnostics, Model Fit & Variable Contribution
Residual Diagnostics
Variable Selection Methods

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

olsrr archive

Depends

R ≥ 3.3

Imports

car
ggplot2
goftest
graphics
gridExtra
nortest
stats
utils
xplorerr

Suggests

covr
descriptr
knitr
rmarkdown
testthat
vdiffr

Reverse Imports

AFR
HanStat
SQI

Reverse Suggests

xplorerr