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ghyp (version 1.5.6)

A package on the generalized hyperbolic distribution and its special cases

Description

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.

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Version

Install

install.packages('ghyp')

Monthly Downloads

580

Version

1.5.6

License

GPL (>= 2)

Maintainer

David Luethi

Last Published

February 5th, 2013

Functions in ghyp (1.5.6)

hist-methods

Histogram for univariate generalized hyperbolic distributions
smi.stocks

Daily returns of five swiss blue chips and the SMI
pairs-methods

Pairs plot for multivariate generalized hyperbolic distributions
ghyp-risk-performance

Risk and Performance Measures
gig-distribution

The Generalized Inverse Gaussian Distribution
mean-vcov-skew-kurt-methods

Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions
portfolio.optimize

Portfolio optimization with respect to alternative risk measures
ghyp-internal

Internal ghyp functions
coef-method

Extract parameters of generalized hyperbolic distribution objects
ghyp-package

A package on the generalized hyperbolic distribution and its special cases
stepAIC.ghyp

Perform a model selection based on the AIC
transform-extract-methods

Linear transformation and extraction of generalized hyperbolic distributions
plot-lines-methods

Plot univariate generalized hyperbolic densities
scale-methods

Scaling and Centering of ghyp Objects
ghyp-get

Get methods for objects inheriting from class ghyp
lik.ratio.test

Likelihood-ratio test
fit.ghypuv

Fitting generalized hyperbolic distributions to univariate data
summary-method

mle.ghyp summary
ghyp-mle.ghyp-classes

Classes ghyp and mle.ghyp
qq-ghyp

Quantile-Quantile Plot
indices

Monthly returns of five indices
ghyp.moment

Compute moments of generalized hyperbolic distributions
ghyp-constructors

Create generalized hyperbolic distribution objects
fit.ghypmv

Fitting generalized hyperbolic distributions to multivariate data
ghyp-distribution

The Generalized Hyperbolic Distribution
logLik-AIC-methods

Extract Log-Likelihood and Akaike's Information Criterion