Learn R Programming

matrixpls (version 1.0.13)

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.

Copy Link

Version

Install

install.packages('matrixpls')

Monthly Downloads

192

Version

1.0.13

License

GPL-3

Issues

Pull Requests

Stars

Forks

Last Published

April 28th, 2021

Functions in matrixpls (1.0.13)

htmt

Heterotrait-monotrait ratio
ave

Average Variance Extracted indices for matrixpls results
effects.matrixpls

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

Monte Carlo simulations with matrixpls
matrixpls

Partial Least Squares and other composite variable models.
convCheck

Convergence checks
signChange

Sign change corrections for bootstrap
cr

Composite Reliability indices for matrixpls results
matrixpls.plspm

A plspm compatibility wrapper for matrixpls
q2

Q2 predictive relevance statistics
estimator

Parameter estimation of a model matrix
matrixpls.crossvalidate

Cross-validation of predictions from matrixpls results
GSCA

Generalized structured component analysis (GSCA) weights
fitSummary

Summary of model fit of PLS model
innerEstim

PLS inner estimation
parameterEstim

Parameter estimation of full model
matrixpls.sempls

A semPLS compatibility wrapper for matrixpls
residuals.matrixpls

Residual diagnostics for matrixpls results
cei

Composite Equivalence Indices
matrixplsboot

Bootstrapping of matrixpls function
loadings

Factor loadings matrix from matrixpls results
matrixpls-common

Commonly used arguments
predict.matrixpls

Predict method for matrixpls results
satisfaction

Satisfaction dataset
matrixpls-package

Matrix-based Partial Least Squares estimation
reliabilityEstim

Reliabilities as products of weights and loadings
outerEstim

PLS outer estimation
r2

R2 for matrixpls results
fitted.matrixpls

Model implied covariance matrix based on matrixpls results
optimCrit

Optimization criteria functions
gof

Goodness of Fit indices for matrixpls results
matrixpls-functions

All estimation function types
weightFun

Indicator weight algoritms
weightSign

Sign ambiguity corrections