matrixpls: Matrix-Based Partial Least Squares Estimation

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: 1.0.5
Imports: assertive, matrixcalc, lavaan, psych, MASS, methods
Suggests: plspm, simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr, R.rsp
Published: 2017-05-03
Author: Mikko Rönkkö [aut, cre]
Maintainer: Mikko Rönkkö <mikko.ronkko at>
License: GPL-3
NeedsCompilation: no
Citation: matrixpls citation info
Materials: NEWS
CRAN checks: matrixpls results


Reference manual: matrixpls.pdf
Vignettes: Introduction to matrixpls
Package source: matrixpls_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: matrixpls_1.0.5.tgz, r-oldrel: matrixpls_1.0.5.tgz
Old sources: matrixpls archive


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