This package provides an R Commander plugin that offers a
unified menu of new and pre-existing statistical functions
related to public management and policy analysis statistics.
Functions and menus have been renamed according to the usage in
PMGT 630 in the Master of Public Administration program at
Brigham Young University.

Andrew Heiss, Richard Payne, Christa Schank
This package provides an R Commander plugin that offers a
unified menu of new and pre-existing statistical functions
related to public management and policy analysis statistics.
Functions and menus have been renamed according to the usage
in PMGT 630 in the Master of Public Administration program at
Brigham Young University.

Andrew Heiss, Richard Payne, Christa Schank, Jessica Reese
Extends R Commander with a unified menu of new and pre-existing
statistical functions related to public management and policy analysis
statistics. Functions and menus have been renamed according to the
usage in PMGT 630 in the Master of Public Administration program at
Brigham Young University.

R Commander Plug-In for statistics at NMBU
lme4, leaps, mvtnorm, gmodels, abind, lattice, xtable,
pbkrtest, vcd, multcomp, e1071
This package provides an Rcmdr "plug-in" extending some functions of linear models and providing an interface to PLS, LDA and QDA.
mvr, lda, qda, prcomp, mer, rsm, glmerMod, lmerMod

lme4, leaps, mvtnorm, gmodels, abind, lattice, xtable,
pbkrtest, vcd, multcomp, e1071, nnet

R Commander Plug-In for Statistics at NMBU

lme4, leaps, mvtnorm, gmodels, abind, lattice, pbkrtest, vcd,
multcomp, e1071, nnet

R Commander Plug-In for University Level Applied Statistics
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"),
person("Solve", "Sæbø", role=c("aut")))
An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.
mvr, lda, qda, princomp, mer, rsm, glmerMod, lmerMod, lmm
Kristian Hovde Liland [aut, cre],
Solve Sæbø [aut]