R(>= 2.4), methods, numDeriv, graphics, stats, gplots
This package provides all about univariate and multivariate generalized hyperbolic distributions and its special cases (Hyperbolic, Normal Inverse Gaussian, Variance Gamma and skewed Student-t distribution). Especially fitting procedures, computation of the density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines. In addition the generalized inverse gaussian distribution is contained in this package.

R(>= 2.5), methods, numDeriv, graphics, stats, gplots

A package on the generalized hyperbolic distribution and its special cases
This package provides detailed functionality for working with the univariate and multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t and Gaussian distribution). Especially, it contains fitting procedures, an AIC-based model selection routine, and functions for the computation of density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines as well as the likelihood ratio test. In addition, it contains the Generalized Inverse Gaussian distribution.

R(>= 2.7), methods, numDeriv, graphics, stats, gplots

A package on the generalized hyperbolic distribution and its
special cases
This package provides detailed functionality for working
with the univariate and multivariate Generalized Hyperbolic
distribution and its special cases (Hyperbolic (hyp), Normal
Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t
and Gaussian distribution). Especially, it contains fitting
procedures, an AIC-based model selection routine, and functions
for the computation of density, quantile, probability, random
variates, expected shortfall and some portfolio optimization
and plotting routines as well as the likelihood ratio test. In
addition, it contains the Generalized Inverse Gaussian
distribution.