MultiStatM: Multivariate Statistical Methods

Algorithms to build set partitions and commutator matrices and their use in the construction of multivariate d-Hermite polynomials; estimation and derivation of theoretical vector moments and vector cumulants of multivariate distributions; conversion formulae for multivariate moments and cumulants. Applications to estimation and derivation of multivariate measures of skewness and kurtosis; estimation and derivation of asymptotic covariances for d-variate Hermite polynomials, multivariate moments and cumulants and measures of skewness and kurtosis. The formulae implemented are discussed in Terdik (2021, ISBN:9783030813925), "Multivariate Statistical Methods".

Version:	2.0.0
Depends:	R (≥ 2.10)
Imports:	arrangements, Matrix, MASS, stats, mvtnorm
Suggests:	rmarkdown, knitr
Published:	2024-07-26
DOI:	10.32614/CRAN.package.MultiStatM
Author:	Gyorgy Terdik [aut], Emanuele Taufer [aut, cre]
Maintainer:	Emanuele Taufer <emanuele.taufer at unitn.it>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	MultiStatM results

Documentation:

Reference manual:	MultiStatM.pdf
Vignettes:	Overview

Downloads:

Package source:	MultiStatM_2.0.0.tar.gz
Windows binaries:	r-devel: MultiStatM_2.0.0.zip, r-release: MultiStatM_2.0.0.zip, r-oldrel: MultiStatM_2.0.0.zip
macOS binaries:	r-release (arm64): MultiStatM_2.0.0.tgz, r-oldrel (arm64): MultiStatM_2.0.0.tgz, r-release (x86_64): MultiStatM_2.0.0.tgz, r-oldrel (x86_64): MultiStatM_2.0.0.tgz
Old sources:	MultiStatM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultiStatM to link to this page.