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.
Authors
- György Terdik (ORCID: https://orcid.org/0000-0002-9663-6892)
- Emanuele Taufer (ORCID: https://orcid.org/0000-0001-5140-9912)
Institutions
- University of Debrecen (HU)
- University of Trento (IT)
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
- Field-Weighted Citation Impact
- 0.00