| ghyp-package | A package on the generalized hyperbolic distribution and its special cases |
| AIC-method | Extract Log-Likelihood and Akaike's Information Criterion |
| AIC.mle.ghyp | Extract Log-Likelihood and Akaike's Information Criterion |
| coef-method | Extract parameters of generalized hyperbolic distribution objects |
| coef.ghyp | Extract parameters of generalized hyperbolic distribution objects |
| coefficients-method | Extract parameters of generalized hyperbolic distribution objects |
| contribution | Class ghyp.attribution |
| contribution-method | Class ghyp.attribution |
| dghyp | The Generalized Hyperbolic Distribution |
| dgig | The Generalized Inverse Gaussian Distribution |
| Egig | The Generalized Inverse Gaussian Distribution |
| ESghyp | Risk and Performance Measures |
| ESghyp.attribution | Risk attribution. |
| ESgig | The Generalized Inverse Gaussian Distribution |
| fit.gaussmv | Fitting generalized hyperbolic distributions to multivariate data |
| fit.gaussuv | Fitting generalized hyperbolic distributions to univariate data |
| fit.ghypmv | Fitting generalized hyperbolic distributions to multivariate data |
| fit.ghypuv | Fitting generalized hyperbolic distributions to univariate data |
| fit.hypmv | Fitting generalized hyperbolic distributions to multivariate data |
| fit.hypuv | Fitting generalized hyperbolic distributions to univariate data |
| fit.NIGmv | Fitting generalized hyperbolic distributions to multivariate data |
| fit.NIGuv | Fitting generalized hyperbolic distributions to univariate data |
| fit.tmv | Fitting generalized hyperbolic distributions to multivariate data |
| fit.tuv | Fitting generalized hyperbolic distributions to univariate data |
| fit.VGmv | Fitting generalized hyperbolic distributions to multivariate data |
| fit.VGuv | Fitting generalized hyperbolic distributions to univariate data |
| gauss | Create generalized hyperbolic distribution objects |
| ghyp | Create generalized hyperbolic distribution objects |
| ghyp-class | Classes ghyp and mle.ghyp |
| ghyp.ad | Create generalized hyperbolic distribution objects |
| ghyp.attribution-class | Class ghyp.attribution |
| ghyp.data | Get methods for objects inheriting from class ghyp |
| ghyp.dim | Get methods for objects inheriting from class ghyp |
| ghyp.fit.info | Get methods for objects inheriting from class ghyp |
| ghyp.kurtosis | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| ghyp.moment | Compute moments of generalized hyperbolic distributions |
| ghyp.name | Get methods for objects inheriting from class ghyp |
| ghyp.omega | Risk and Performance Measures |
| ghyp.skewness | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| hist-method | Histogram for univariate generalized hyperbolic distributions |
| hist-methods | Histogram for univariate generalized hyperbolic distributions |
| hist.ghyp | Histogram for univariate generalized hyperbolic distributions |
| hyp | Create generalized hyperbolic distribution objects |
| hyp.ad | Create generalized hyperbolic distribution objects |
| indices | Monthly returns of five indices |
| lik.ratio.test | Likelihood-ratio test |
| lines-method | Plot univariate generalized hyperbolic densities |
| lines-methods | Plot univariate generalized hyperbolic densities |
| lines.ghyp | Plot univariate generalized hyperbolic densities |
| logLik-method | Extract Log-Likelihood and Akaike's Information Criterion |
| logLik.mle.ghyp | Extract Log-Likelihood and Akaike's Information Criterion |
| mean-method | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| mean-methods | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| mean.ghyp | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| mle.ghyp-class | Classes ghyp and mle.ghyp |
| NIG | Create generalized hyperbolic distribution objects |
| NIG.ad | Create generalized hyperbolic distribution objects |
| pairs-method | Pairs plot for multivariate generalized hyperbolic distributions |
| pairs-methods | Pairs plot for multivariate generalized hyperbolic distributions |
| pairs.ghyp | Pairs plot for multivariate generalized hyperbolic distributions |
| pghyp | The Generalized Hyperbolic Distribution |
| pgig | The Generalized Inverse Gaussian Distribution |
| plot-method | Plot ES contribution |
| plot-method | Plot univariate generalized hyperbolic densities |
| plot-methods | Plot univariate generalized hyperbolic densities |
| plot.ghyp | Plot univariate generalized hyperbolic densities |
| plot.ghyp.attrib | Plot ES contribution |
| portfolio.optimize | Portfolio optimization with respect to alternative risk measures |
| qghyp | The Generalized Hyperbolic Distribution |
| qgig | The Generalized Inverse Gaussian Distribution |
| qqghyp | Quantile-Quantile Plot |
| rghyp | The Generalized Hyperbolic Distribution |
| rgig | The Generalized Inverse Gaussian Distribution |
| scale-method | Scaling and Centering of ghyp Objects |
| scale.ghyp | Scaling and Centering of ghyp Objects |
| sensitivity | Class ghyp.attribution |
| sensitivity-method | Class ghyp.attribution |
| show-method | Classes ghyp and mle.ghyp |
| show.ghyp | Classes ghyp and mle.ghyp |
| show.mle.ghyp | Classes ghyp and mle.ghyp |
| smi.stocks | Daily returns of five swiss blue chips and the SMI |
| stepAIC.ghyp | Perform a model selection based on the AIC |
| student.t | Create generalized hyperbolic distribution objects |
| student.t.ad | Create generalized hyperbolic distribution objects |
| summary-method | mle.ghyp summary |
| summary-methods | mle.ghyp summary |
| summary.mle.ghyp | mle.ghyp summary |
| transform-method | Linear transformation and extraction of generalized hyperbolic distributions |
| transform.ghyp | Linear transformation and extraction of generalized hyperbolic distributions |
| vcov-method | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| vcov-methods | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| vcov.ghyp | Expected value, variance-covariance, skewness and kurtosis of generalized hyperbolic distributions |
| VG | Create generalized hyperbolic distribution objects |
| VG.ad | Create generalized hyperbolic distribution objects |
| weights-method | Class ghyp.attribution |
| [-method | Linear transformation and extraction of generalized hyperbolic distributions |
| [.ghyp | Linear transformation and extraction of generalized hyperbolic distributions |