R: Multivariate Statistical Methods

# Multivariate Statistical Methods

## Documentation for package ‘MultiStatM’ version 2.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

CommutatorIndx | Commutator Index
CommutatorMatr | Commutator Matrix
Cum2Mom | Convert cumulants to moments (univariate and multivariate)
Edgeworth | Edgeworth expansion of a multivariate density
EliminIndx | Distinct values selection vector
EliminMatr | Elimination Matrix
EVSKGenHyp | EVSK multivariate Generalized hyperbolic
EVSKSkewNorm | EVSK multivariate Skew Normal
EVSKSkewt | EVSK multivariate Skew-t
EVSKUniS | EVSK of the Uniform distribution on the sphere or its modulus
GramCharlier | Gram-Charlier approximation to a multivariate density
HermiteCoeff | Coefficients of Hermite polynomials
HermiteCov12 | Covariance matrix for multivariate T-Hermite polynomials
HermiteN | Hermite Polynomials (Univariate and Multivariate)
HermiteN2X | Inverse Hermite Polynomial
IntEdgeworth | Integrate Edgeworth density
IntGramCharlier | Integrate Gram Charlier density
IntHermiteN | IntHermiteN
MargMomCum | Marginal moments and cumulants from T-vectors
Mom2Cum | Convert moments to cumulants (univariate and multivariate)
MomCumCFUSN | Moments and cumulants CFUSN
MomCumGenHyp | Moments and cumulants of the multivariate Generalized Hyperbolic distribution
MomCumMVt | Moments and cumulants Multivariate t-Student distribution
MomCumSkewNorm | Moments and cumulants d-variate Skew Normal
MomCumUniS | Moments and cumulants Uniform Distribution on the Sphere
MomCumZabs | Moments and Cumulants of the Central Folded Normal Distribution
MTCE | Multivariate tail conditional expectation
MVStandardize | Standardize multivariate data
Partitions | General Partition Function
PartitionTypeAll | Partitions, type and number of partitions
PermutationInv | Inverse of a Permutation
QplicIndx | Qplication vector
QplicMatr | Qplication Matrix
rCFUSN | Random multivariate CFUSN
rCFUSSD | Random multivariate CFUSSD
rSkewNorm | Random Multivariate Skew Normal
rUniS | Random multivariate spherically symmetric distributions
SampleEVSK | Estimation of multivariate Mean, Variance, T-Skewness and T-Kurtosis vectors
SampleKurt | Estimation of Sample Kurtosis (Mardia, MRSz, Total)
SampleMomCum | Estimation of multivariate T-Moments and T-Cumulants
SampleSkew | Estimation of Sample Skewness (Mardia, MRSz)
SampleVarianceSkewKurt | Estimated Variance of skewness and kurtosis vectors
SymIndx | Symmetrizing vector
SymMatr | Symmetrizer Matrix
VarianceKurt | Asymptotic Variance of the estimated kurtosis vector
VarianceSkew | Asymptotic Variance of the estimated skewness vector