plsRbeta: Partial least squares Regression for beta regression models

This package provides Partial least squares Regression for (weighted) beta regression models and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Version: 0.1.8
Depends: R (≥ 2.4.0)
Imports: mvtnorm, boot, Formula, plsdof, MASS, plsRglm, betareg
Suggests: pls
Published: 2014-03-11
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/
NeedsCompilation: no
Classification/MSC: 62J12, 62J99
Citation: plsRbeta citation info
Materials: NEWS
CRAN checks: plsRbeta results

Downloads:

Reference manual: plsRbeta.pdf
Package source: plsRbeta_0.1.8.tar.gz
OS X binary: plsRbeta_0.1.8.tgz
Windows binary: plsRbeta_0.1.8.zip
Old sources: plsRbeta archive