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: | 1.0.4 |
| Imports: | assertive, matrixcalc, lavaan, psych, MASS, methods |
| Suggests: | plspm, simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr, R.rsp |
| Published: | 2016-12-13 |
| 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 |
| Reference manual: | matrixpls.pdf |
| Vignettes: |
Introduction to matrixpls |
| Package source: | matrixpls_1.0.4.tar.gz |
| Windows binaries: | r-devel: matrixpls_1.0.4.zip, r-release: matrixpls_1.0.4.zip, r-oldrel: matrixpls_1.0.4.zip |
| OS X Mavericks binaries: | r-release: matrixpls_1.0.4.tgz, r-oldrel: matrixpls_1.0.4.tgz |
| Old sources: | matrixpls archive |
Please use the canonical form https://CRAN.R-project.org/package=matrixpls to link to this page.