Imports: assertive, matrixcalc, psych, lavaan, MASS
Suggests: plspm, simsem, RUnit, parallel, semPLS, boot

Description: matrixpls is implements 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.

Imports: assertive, matrixcalc, lavaan, psych, MASS
Suggests: plspm, simsem, RUnit, parallel, semPLS, boot, ASGSCA, RGCCA,

Title: Matrix-Based Partial Least Squares Estimation
Description: Partial Least Squares Path Modeling
Imports: assertive, matrixcalc, lavaan, psych, MASS, methods
Suggests: plspm, simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA

Suggests: plspm, simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA,
Collate: 'convCheck.R' 'estimator.R' 'innerEstim.R' 'matrixpls.R'

Imports: assertive, matrixcalc, lavaan, MASS, methods, psych
Suggests: simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr,

Description: This is the core functions needed by the 'tsmp' package.  The
low level and carefully checked mathematical functions are here.
These are implementations of the Matrix Profile concept that was
Imports: checkmate (>= 2.0.0), Rcpp (>= 1.0.3), RcppParallel (>= 4.4.4)
Suggests: testthat (>= 3.0.0), debugme (>= 1.0.0), spelling (>= 2.0.0)
LinkingTo: Rcpp (>= 1.0.3), RcppParallel (>= 4.4.4), RcppProgress (>=
Author: Francisco Bischoff [aut, cre] (<https://orcid.org/0000-0002-5301-8672>),

Imports: checkmate (>= 2.0.0), Rcpp (>= 1.0.6), RcppParallel (>= 5.1.4)
Suggests: testthat (>= 3.0.2), debugme (>= 1.1.0), spelling (>= 2.2.0)
LinkingTo: Rcpp (>= 1.0.6), RcppParallel (>= 5.1.4), RcppProgress (>=

Suggests: testthat (>= 3.0.2), debugme (>= 1.1.0), spelling (>= 2.2.0),

Title: Simulations of Matrix Variate Distributions
Description: Provides samplers for various matrix variate distributions: Wishart, inverse-Wishart, normal, t, inverted-t, Beta type I and Beta type II. Allows to simulate the noncentral Wishart distribution without the integer restriction on the degrees of freedom.