| BMAmevt-package | Bayesian Model Averaging for Multivariate Extremes | 
| add.frame | Adds graphical elements to a plot of the two dimensional simplex. | 
| BMAmevt | Bayesian Model Averaging for Multivariate Extremes | 
| cons.angular.dat | Angular data set generation from unit Frechet data. | 
| ddirimix | Angular density/likelihood function in the Dirichlet Mixture model. | 
| ddirimix.grid | Plots the Dirichlet mixture density on a discretization grid | 
| ddirimix.grid1D | Univariate projection or marginalization of a Dirichlet mixture density on on '[0,1]' | 
| dgridplot | Image and/or Contour plots of spectral densities in trivariate extreme value models | 
| diagnose | Diagnostics for the MCMC output in the PB and NL models. | 
| diagnose.PBNLpostsample | Diagnostics for the MCMC output in the PB and NL models. | 
| discretize | Discretization grid builder. | 
| dm.expar.D3k3 | Example of valid Dirichlet mixture parameter for tri-variate extremes. | 
| dnestlog | Pairwise Beta (PB) and Nested Asymmetric Logistic (NL) distributions | 
| dnestlog.grid | PB and NL spectral densities on the two-dimensional simplex | 
| dpairbeta | Pairwise Beta (PB) and Nested Asymmetric Logistic (NL) distributions | 
| dpairbeta.grid | PB and NL spectral densities on the two-dimensional simplex | 
| excessProb.condit.dm | Probability of joint threshold exceedance, in the Dirichlet Mixture model, given a DM parameter. | 
| excessProb.condit.nl | Probability of joint threshold excess in the NL model | 
| excessProb.nl | Posterior distribution the probability of joint threshold excess, in the NL model. | 
| excessProb.pb | Estimates the probability of joint excess (Frechet margins) | 
| expfunction.nl | Exponent function in the NL model. | 
| frechetdat | Multivariate data set with margins following unit Frechet distribution. | 
| invlogit | Inverse logit transformation | 
| laplace.evt | Laplace approximation of a model marginal likelihood by Laplace approximation. | 
| Leeds | Tri-variate 'angular' data set approximately distributed according to a multivariate extremes angular distribution | 
| Leeds.frechet | Multivariate data set with margins following unit Frechet distribution. | 
| logit | Logit transformation | 
| marginal.lkl | Marginal model likelihood | 
| marginal.lkl.nl | Marginal likelihoods of the PB and NL models. | 
| marginal.lkl.pb | Marginal likelihoods of the PB and NL models. | 
| maxLikelihood | Maximum likelihood optimization | 
| MCpriorIntFun | Generic Monte-Carlo integration of a function under the prior distribution | 
| MCpriorIntFun.nl | Generic Monte-Carlo integration under the prior distribution in the PB and NL models. | 
| MCpriorIntFun.pb | Generic Monte-Carlo integration under the prior distribution in the PB and NL models. | 
| nl.Hpar | Default hyper-parameters for the NL model. | 
| nl.MCpar | Default MCMC tuning parameter for the Nested Asymmetric logistic model. | 
| pb.Hpar | Default hyper-parameters for the Pairwise Beta model. | 
| pb.MCpar | Default MCMC tuning parameter for the Pairwise Beta model. | 
| posterior.predictive.nl | Posterior predictive densities in the three dimensional PB, NL and NL3 models | 
| posterior.predictive.pb | Posterior predictive densities in the three dimensional PB, NL and NL3 models | 
| posterior.predictive3D | Posterior predictive density on the simplex, for three-dimensional extreme value models. | 
| posteriorDistr.bma | Posterior distribution in the average model | 
| posteriorMCMC | MCMC sampler for parametric spectral measures | 
| posteriorMCMC.nl | MCMC posterior samplers for the pairwise beta and the negative logistic models. | 
| posteriorMCMC.pb | MCMC posterior samplers for the pairwise beta and the negative logistic models. | 
| posteriorMean | Posterior predictive density on the simplex, for three-dimensional extreme value models. | 
| posteriorWeights | Posterior model weights | 
| prior.nl | Prior parameter distribution for the NL model | 
| prior.pb | Prior parameter distribution for the Pairwise Beta model | 
| proposal.nl | NL3 model: proposal distribution. | 
| proposal.pb | PB model: proposal distribution | 
| rdirichlet | Dirichlet distribution: random generator | 
| rdirimix | Angular density/likelihood function in the Dirichlet Mixture model. | 
| rect.integrate | Density integration on the two-dimensional simplex | 
| rnestlog | Pairwise Beta (PB) and Nested Asymmetric Logistic (NL) distributions | 
| rpairbeta | Pairwise Beta (PB) and Nested Asymmetric Logistic (NL) distributions | 
| rstable.posit | Positive alpha-stable distribution. | 
| scores3D | Logarithmic score and L^2 distance between two densities on the simplex (trivariate case). | 
| transf.to.equi | Linear coordinate transformations | 
| transf.to.rect | Linear coordinate transformations | 
| winterdat | Five-dimensional air quality dataset recorded in Leeds(U.K.), during five winter seasons. |