lmAuxiliary

This is a convenience for analysis of multicollinearity in regression.

A collection of functions for interpretation and presentation
of regression analysis. These functions are used
to produce the statistics lectures in
<https://pj.freefaculty.org/guides/>. Includes regression
diagnostics, regression tables, and plots of interactions and
"moderator" variables. The emphasis is on "mean-centered" and
"residual-centered" predictors. The vignette 'rockchalk' offers a
fairly comprehensive overview. The vignette 'Rstyle' has advice
about coding in R. The package title 'rockchalk' refers to our
school motto, 'Rock Chalk Jayhawk, Go K.U.'.

Paul Johnson

rockchalk

Regression Estimation and Presentation

Paul E. Johnson

Gabor Grothendieck

Dimitri Papadopoulos OrfanosGabor

lmAuxiliary function

<dl><dt>model</dt>
<dd>a fitted regression model</dd></dl>

Arguments

Paul E. Johnson <a href="/link/pauljohn%40ku.edu?package=rockchalk&version=1.8.157" data-mini-rdoc="rockchalk::pauljohn@ku.edu">pauljohn@ku.edu</a>

Author

Estimate leave-one-variable-out regressions — lmAuxiliary

<dl>

<dt>model</dt>
<dd>a fitted regression model</dd>

</dl>

Paul E. Johnson <a href='mailto:pauljohn@ku.edu'>pauljohn@ku.edu</a>

lmAuxiliary: Estimate leave-one-variable-out regressions

Description

Usage

Value

Arguments

Author