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.

Documentation

Manual: matrixpls.pdf
Vignette: Introduction to matrixpls

Maintainer: Mikko Rönkkö <mikko.ronkko at jyu.fi>

Author(s): Mikko Rönkkö*

Install package and any missing dependencies by running this line in your R console:

install.packages("matrixpls")

Depends
Imports assertive, matrixcalc, lavaan, psych, MASS, methods
Suggests plspm, simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr, R.rsp
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Package matrixpls
Materials
URL https://github.com/mronkko/matrixpls
Task Views
Version 1.0.5
Published 2017-05-03
License GPL-3
BugReports https://github.com/mronkko/matrixpls/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks matrixpls check results
Package source matrixpls_1.0.5.tar.gz