yhat: Interpreting Regression Effects

The purpose of this package is to provide methods to interpret multiple linear regression and canonical correlation results including beta weights,structure coefficients, validity coefficients, product measures, relative weights, all-possible-subsets regression, dominance analysis, commonality analysis, and adjusted effect sizes.

Version:	2.0-4
Depends:	R (≥ 2.7.0)
Imports:	yacca, miscTools, plotrix, boot
Suggests:	MBESS
Published:	2023-10-10
Author:	Kim Nimon, Fred Oswald, and J. Kyle Roberts.
Maintainer:	Kim Nimon <kim.nimon at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	yhat results

Documentation:

Reference manual:

yhat.pdf

Downloads:

Package source:	yhat_2.0-4.tar.gz
Windows binaries:	r-prerel: yhat_2.0-4.zip, r-release: yhat_2.0-4.zip, r-oldrel: yhat_2.0-4.zip
macOS binaries:	r-prerel (arm64): yhat_2.0-4.tgz, r-release (arm64): yhat_2.0-4.tgz, r-oldrel (arm64): yhat_2.0-4.tgz, r-prerel (x86_64): yhat_2.0-4.tgz, r-release (x86_64): yhat_2.0-4.tgz
Old sources:	yhat archive

Linking:

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