plsRbeta: Partial Least Squares Regression for Beta Regression Models

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: 0.2.0
Depends: R (≥ 2.4.0)
Imports: mvtnorm, boot, Formula, plsdof, MASS, betareg, plsRglm
Suggests: pls
Published: 2014-12-17
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_0.2.0.tar.gz
Windows binaries: r-devel: plsRbeta_0.2.0.zip, r-release: plsRbeta_0.2.0.zip, r-oldrel: plsRbeta_0.1.8.zip
OS X Snow Leopard binaries: r-release: plsRbeta_0.1.8.tgz, r-oldrel: plsRbeta_0.1.8.tgz
OS X Mavericks binaries: r-release: plsRbeta_0.1.8.tgz
Old sources: plsRbeta archive