MultiStatM: Multivariate Statistical Methods in R

The package MultiStatM presents a vectorial approach to multivariate moments and cumulants. Functions provided concern algorithms to build set partitions and commutator matrices, multivariate d-Hermite polynomials; theoretical vector moments and vector cumulants of multivariate distributions and their conversion formulae. Applications discussed concern multivariate measures of skewness and kurtosis; asymptotic covariances for d-variate Hermite polynomials and multivariate moments and cumulants; Gram-Charlier approximations.

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Publication Details

Journal
The R Journal
Published
2025-07-14
DOI
https://doi.org/10.32614/rj-2024-039
Primary Topic
Data Analysis with R
Type
article
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article

MultiStatM: Multivariate Statistical Methods in R

György Terdik, Emanuele Taufer
The R Journal
Data Analysis with R
article

MultiStatM: Multivariate Statistical Methods in R

György Terdik, Emanuele Taufer
article en

Abstract

The package MultiStatM presents a vectorial approach to multivariate moments and cumulants. Functions provided concern algorithms to build set partitions and commutator matrices, multivariate d-Hermite polynomials; theoretical vector moments and vector cumulants of multivariate distributions and their conversion formulae. Applications discussed concern multivariate measures of skewness and kurtosis; asymptotic covariances for d-variate Hermite polynomials and multivariate moments and cumulants; Gram-Charlier approximations.

The R JournalVol. 16(4)
University of Debrecen (HU), University of Trento (IT)
Openalex Percentile: Top 91%
Data Analysis with R
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