matrixpls: Matrix-based Partial Least Squares estimation

matrixpls is implements Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.

Version: 0.4.0
Imports: assertive, matrixcalc, psych, lavaan, MASS
Suggests: plspm, simsem, RUnit, parallel, semPLS, boot
Published: 2014-10-24
Author: Mikko Rönkkö [aut, cre]
Maintainer: Mikko Rönkkö <mikko.ronkko at aalto.fi>
BugReports: https://github.com/mronkko/matrixpls/issues
License: GPL-3
URL: https://github.com/mronkko/matrixpls
NeedsCompilation: no
Citation: matrixpls citation info
Materials: NEWS
CRAN checks: matrixpls results

Downloads:

Reference manual: matrixpls.pdf
Package source: matrixpls_0.4.0.tar.gz
Windows binaries: r-devel: matrixpls_0.4.0.zip, r-release: matrixpls_0.4.0.zip, r-oldrel: matrixpls_0.4.0.zip
OS X Snow Leopard binaries: r-release: matrixpls_0.3.0.tgz, r-oldrel: matrixpls_0.3.0.tgz
OS X Mavericks binaries: r-release: matrixpls_0.4.0.tgz
Old sources: matrixpls archive