This package estimates factor analysis models using a
genetic algorithm, which permits a general mechanism for
restricted optimization with arbitrary restrictions that are
chosen at run time with the help of a GUI. Importantly,
inequality restrictions can be imposed on functions of multiple
parameters, which provides a new avenues for testing and
generating theories with factor analysis models. This package
also includes an entirely new estimator of the common factor
analysis model called semi-exploratory factor analysis, which
is a general alternative to exploratory and confirmatory factor
analysis. Finally, this package integrates a lot of other
packages that estimate sample covariance matrices and thus
provides a lot of alternatives to the traditional sample
covariance calculation. Note that you need to have the Gtk run
time library installed on your system to use this package; see
the URL below for detailed installation instructions. Most
users would only need to understand the first twenty-four pages
of the PDF manual.
R (>= 2.7.0), methods, rgenoud (>= 5.4-7), gWidgetsRGtk2 (>=
0.0-31), stats4, rrcov, Matrix
corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest,
energy, GPArotation, sem, MASS, psych

corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest,
energy, jit, GPArotation

corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest,
energy, jit, GPArotation, sem, MASS, psych

R (>= 2.7.0), methods, rgenoud (>= 5.4-7), gWidgetsRGtk2 (>=
0.0-31), stats4, rrcov, Matrix, jit

Maximum Likelihood and Bayesian Estimation of Univariate
Probability Distributions
This package contains a series of functions that might be
useful in carrying out maximum likelihood and Bayesian
estimations of univariate probability distributions

A series of functions that might be useful in carrying out
maximum likelihood and Bayesian estimations of univariate probability distributions

Estimate parameters of univariate probability distributions
with maximum likelihood and Bayesian methods.

Functions and Datasets for "Forest Analytics with R".
This package provides functions and datasets from the book
"Forest Analytics with R".