DESCRIPTION

Encoding: UTF-8
Package: matrixpls
Type: Package
Title: Matrix-Based Partial Least Squares Estimation
Version: 1.0.15
Date: 2022-07-06
Authors@R: c(person("Mikko", "Rönkkö", role=c("aut", "cre"),
    email = "mikko.ronkko@jyu.fi"))
Maintainer: Mikko Rönkkö <mikko.ronkko@jyu.fi>
Description: Partial Least Squares Path Modeling
    algorithm and related algorithms as described in Dijkstra (1983) 
    <doi:10.1016/0304-4076(83)90094-5>. 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.
URL: https://github.com/mronkko/matrixpls
BugReports: https://github.com/mronkko/matrixpls/issues
ByteCompile: TRUE
Imports:
    assertthat,
    boot,
    lavaan,
    MASS,
    methods,
    psych
Suggests:
    simsem,
    parallel,
    Matrix,
    ASGSCA,
    knitr,
    R.rsp
License: GPL-3
LazyLoad: yes
LazyData: true
RoxygenNote: 7.3.2
Collate:
    'convCheck.R'
    'estimator.R'
    'innerEstim.R'
    'matrixpls.R'
    'matrixpls.boot.R'
    'matrixpls.crossvalidate.R'
    'matrixpls.optim.R'
    'matrixpls.plspm.R'
    'matrixpls.postestimation.R'
    'matrixpls.predict.R'
    'matrixpls.sempls.R'
    'matrixpls.sim.R'
    'matrixpls.util.R'
    'outerEstim.R'
    'paramEstimator.R'
    'reliabilityEstim.R'
    'signChange.R'
    'weightFun.R'
    'weightSign.R'
VignetteBuilder: R.rsp
Depends: 
    R (>= 2.10)