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.

Package details

AuthorKim Nimon <[email protected]>, Fred Oswald, and J. Kyle Roberts.
MaintainerKim Nimon <[email protected]>
LicenseGPL (>= 2)
URL http://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the yhat package in your browser

Any scripts or data that you put into this service are public.

yhat documentation built on May 29, 2017, 10:39 p.m.