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

Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and Poisson regression. 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. There are numerous options for model plots, including plots of interactions for both lm and lme models.

Version: 0.1.9
Depends: R (≥ 2.10)
Imports: graphics, stats, utils, nlme, MASS
Published: 2024-07-14
DOI: 10.32614/CRAN.package.SIMPLE.REGRESSION
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_0.1.9.tar.gz
Windows binaries: r-devel: SIMPLE.REGRESSION_0.1.9.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_0.1.9.tgz, r-oldrel (x86_64): SIMPLE.REGRESSION_0.1.9.tgz
Old sources: SIMPLE.REGRESSION archive

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