SIMPLE.REGRESSION: Multiple Regression and Moderated Regression Made Simple

Provides SPSS- and SAS-like output for least squares multiple regression and moderated regression, as well as interaction plots and Johnson-Neyman regions of significance for interactions. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. There are numerous options for designing interaction plots, including plots of interactions for both lm and lme models.

Version: 0.1.2
Imports: graphics, stats, utils, nlme
Published: 2021-10-07
Author: Brian P. O'Connor
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_0.1.2.tar.gz
Windows binaries: r-devel: SIMPLE.REGRESSION_0.1.2.zip, r-release: SIMPLE.REGRESSION_0.1.2.zip, r-oldrel: SIMPLE.REGRESSION_0.1.2.zip
macOS binaries: r-release (arm64): SIMPLE.REGRESSION_0.1.2.tgz, r-release (x86_64): SIMPLE.REGRESSION_0.1.2.tgz, r-oldrel: SIMPLE.REGRESSION_0.1.2.tgz

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