MultiStatM: Multivariate Statistical Methods (original) (raw)
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 |
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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 |
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