rockchalk-package: Miscellaneous regression functions
Description
ll{ Package: rockchalk
Type: Package
Version: 1.4
Date: 2012-01-10
License: GPL >= 3
LazyLoad: yes
} The
rockchalk package includes an ever-growing collection of
functions that assist in the presentation of regression
models. The initial function was outreg,
which produces LaTeX tables that summarize one or many
fitted regression models. It also offers plotting
conveniences like plotPlane and
plotSlopes, which illustrate some of the
variables from a fitted regression model. For a detailed
check on multicollinearity, see mcDiagnose.
The user should be aware of this fact: Not all of these
functions lead to models or types of analysis that we
endorese. Rather, they all lead to analysis that is
endorsed by some scholars, and we feel it is important to
facilitate the comparison of competing methods. For
example, the function standardize will
calculate standardized regression coefficients for all
predictors in a regression model's design matrix in order
to replicate results from other statistical frameworks,
no matter how unwise the use of such coefficients might
be. The function meanCenter will allow the
user to more selectively choose variables for centering
(and possibly standardization) before they are entered
into the design matrix. Because of the importance of
interaction variables in regression analysis, the
residualCenter and meanCenter
functions are offered. While mean centering does not
actually help with multicollinearity of interactive
terms, many scholars have argued that it does. The
meanCenter function can be compared with the "residual
centering" of interaction terms.References
http://pj.freefaculty.org/R