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| ghyp-package | A package on generalized hyperbolic distributions |
| AIC,mle.ghypmv-method | Extract Log-Likelihood and Akaike's Information Criterion |
| AIC,mle.ghypuv-method | Extract Log-Likelihood and Akaike's Information Criterion |
| AIC.mle.ghyp | Extract Log-Likelihood and Akaike's Information Criterion |
| dghyp | The Generalized Hyperbolic Distribution |
| dgig | The Generalized Inverse Gaussian Distribution |
| Egig | The Generalized Inverse Gaussian Distribution |
| ESghyp | The Generalized Hyperbolic Distribution |
| ESgig | The Generalized Inverse Gaussian Distribution |
| 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 |
| ghyp | Create generalized hyperbolic distribution objects |
| ghyp.data | Get methods for objects inheriting from class ghypbase |
| ghyp.fit.info | Get methods for objects inheriting from class ghypbase |
| ghyp.moment | Compute moments of ghyp distributions |
| ghyp.params | Get methods for objects inheriting from class ghypbase |
| ghypbase-class | Class ghypbase |
| ghypmv-class | Class ghypmv |
| ghypuv-class | Class ghypuv |
| hist,ghypuv-method | Histogram for univariate generalized hyperbolic distributions |
| hist-methods | Histogram for univariate generalized hyperbolic distributions |
| hist.ghypuv | Histogram for univariate generalized hyperbolic distributions |
| hyp | Create generalized hyperbolic distribution objects |
| lin.transf | Linear transformation of generalized hyperbolic distributed random numbers |
| logLik,mle.ghypmv-method | Extract Log-Likelihood and Akaike's Information Criterion |
| logLik,mle.ghypuv-method | Extract Log-Likelihood and Akaike's Information Criterion |
| logLik.mle.ghyp | Extract Log-Likelihood and Akaike's Information Criterion |
| mean,ghypbase-method | Expected value and variance-covariance of generalized hyperbolic distributions |
| mean-methods | Expected value and variance-covariance of generalized hyperbolic distributions |
| mean.ghypbase | Expected value and variance-covariance of generalized hyperbolic distributions |
| mle.ghypmv-class | Class mle.ghypmv |
| mle.ghypuv-class | Class mle.ghypuv |
| NIG | Create generalized hyperbolic distribution objects |
| pairs,ghypmv-method | Pairs plot for multivariate generalized hyperbolic distributions |
| pairs-methods | Pairs plot for multivariate generalized hyperbolic distributions |
| pairs.ghypmv | Pairs plot for multivariate generalized hyperbolic distributions |
| pghyp | The Generalized Hyperbolic Distribution |
| pgig | The Generalized Inverse Gaussian Distribution |
| portfolio.optimize | Portfolio optimization given a multivariate generalized hyperbolic distribution |
| qghyp | The Generalized Hyperbolic Distribution |
| qgig | The Generalized Inverse Gaussian Distribution |
| qqghyp | Quantile-Quantile Plot |
| redim | Extract dimensions of multivariate generalized hyperbolic distributions |
| rghyp | The Generalized Hyperbolic Distribution |
| rgig | The Generalized Inverse Gaussian Distribution |
| show,ghypmv-method | Class ghypmv |
| show,ghypuv-method | Class ghypuv |
| show,mle.ghypmv-method | Class mle.ghypmv |
| show,mle.ghypuv-method | Class mle.ghypuv |
| show.ghypmv | Class ghypmv |
| show.ghypuv | Class ghypuv |
| show.mle.ghypmv | Class mle.ghypmv |
| show.mle.ghypuv | Class mle.ghypuv |
| 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 |
| vcov,ghypbase-method | Expected value and variance-covariance of generalized hyperbolic distributions |
| vcov-methods | Expected value and variance-covariance of generalized hyperbolic distributions |
| vcov.ghypbase | Expected value and variance-covariance of generalized hyperbolic distributions |
| VG | Create generalized hyperbolic distribution objects |