plsRbeta: Partial least squares Regression for beta regression models

This package provides Partial least squares Regression for beta regression models and kfold crossvalidation of such models using various criteria. It allows for missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.

Version: 0.1.1
Depends: R (≥ 2.4.0), plsRglm
Imports: mvtnorm, boot, Formula, plsdof
Suggests: pls, MASS, betareg
Enhances: plsRglm
Published: 2011-11-30
Author: Frederic Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer.
Maintainer: Frederic Bertrand <frederic.bertrand at math.unistra.fr>
License: GPL-3
URL: http://www-irma.u-strasbg.fr/~fbertran/
Classification/MSC: 62J12, 62J99
CRAN checks: plsRbeta results

Downloads:

Package source: plsRbeta_0.1.1.tar.gz
MacOS X binary: plsRbeta_0.1.1.tgz
Windows binary: plsRbeta_0.1.1.zip
Reference manual: plsRbeta.pdf
News/ChangeLog:NEWS