SIMPLE.REGRESSION: OLS, Moderated, Logistic, and Count Regressions Made Simple

Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and count variable regressions. Detailed output is also provided for OLS moderated regression, interaction plots, and Johnson-Neyman regions of significance. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. The output for some functions includes Bayes Factors and, if requested, regression coefficients from Bayesian Markov Chain Monte Carlo analyses. There are numerous options for model plots. The REGIONS_OF_SIGNIFICANCE function also provides Johnson-Neyman regions of significance and plots of interactions for both lm and lme models.

Version:	0.2.1
Depends:	R (≥ 2.10)
Imports:	graphics, stats, utils, nlme, MASS, BayesFactor, rstanarm, pscl
Published:	2025-01-12
DOI:	10.32614/CRAN.package.SIMPLE.REGRESSION
Author:	Brian P. O'Connor [aut, cre]
Maintainer:	Brian P. O'Connor <brian.oconnor at ubc.ca>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	SIMPLE.REGRESSION results

Documentation:

Reference manual:

SIMPLE.REGRESSION.pdf

Downloads:

Package source:	SIMPLE.REGRESSION_0.2.1.tar.gz
Windows binaries:	r-devel: SIMPLE.REGRESSION_0.2.1.zip, r-release: SIMPLE.REGRESSION_0.1.9.zip, r-oldrel: SIMPLE.REGRESSION_0.1.9.zip
macOS binaries:	r-release (arm64): SIMPLE.REGRESSION_0.1.9.tgz, r-oldrel (arm64): SIMPLE.REGRESSION_0.1.9.tgz, r-release (x86_64): SIMPLE.REGRESSION_0.2.1.tgz, r-oldrel (x86_64): SIMPLE.REGRESSION_0.2.1.tgz
Old sources:	SIMPLE.REGRESSION archive

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