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matrixpls (version 1.0.4)

Matrix-Based Partial Least Squares Estimation

Description

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.

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Version

Install

install.packages('matrixpls')

Monthly Downloads

83

Version

1.0.4

License

GPL-3

Issues

4

Pull Requests

0

Stars

6

Forks

5

Maintainer

Mikko Rönkkö

Last Published

December 13th, 2016

Functions in matrixpls (1.0.4)

ave

Average Variance Extracted indices for matrixpls results
GSCA

Generalized structured component analysis (GSCA) weights
effects.matrixpls

Total, Direct, and Indirect Effects for matrixpls results
fitted.matrixpls

Model implied covariance matrix based on matrixpls results
fitSummary

Summary of model fit of PLS model
cr

Composite Reliability indices for matrixpls results
convCheck

Convergence checks
gof

Goodness of Fit indices for matrixpls results
estimator

Parameter estimation of a model matrix
htmt

Heterotrait-monotrait ratio
matrixpls-package

Matrix-based Partial Least Squares estimation
matrixpls

Partial Least Squares and other composite variable models.
matrixpls-common

Commonly used arguments
matrixpls.boot

Bootstrapping of matrixpls function
matrixpls-functions

All estimation function types
matrixpls.crossvalidate

Cross-validation of predictions from matrixpls results
innerEstim

PLS inner estimation
loadings

Factor loadings matrix from matrixpls results
matrixpls.plspm

A plspm compatibility wrapper for matrixpls
matrixpls.sempls

A semPLS compatibility wrapper for matrixpls
signChange

Sign change corrections for bootstrap
r2

R2 for matrixpls results
residuals.matrixpls

Residual diagnostics for matrixpls results
predict.matrixpls

Predict method for matrixpls results
reliabilityEstim

Reliabilities as products of weights and loadings
q2

Q2 predictive relevance statistics
outerEstim

PLS outer estimation
parameterEstim

Parameter estimation of full model
weightFun

Indicator weigth algoritms
weightSign

Sign ambiquity corrections
matrixpls.sim

Monte Carlo simulations with matrixpls
optimCrit

Optimization criteria functions