Man pages for HiDimMaxStable
Inference on High Dimensional Max-Stable Distributions

build.clusters.spatialBuilds clusters with a given maximum size using a k-means...
dens.gridComputes the likelihood function on a grid of parameters
excess.censorTransforms data to normalized exceedances with censoring
excess.lLikelihood for vectors of exceedance with censored components
marginMargin distributions
margin-classmargin class
maxblocksComputes the normalized componentwise maxima with their...
maxgridIdentifies the coordinates of the maximum on a grid
maxlikMaximum likelihood estimation
maxstablePartition-composite likelihood for multivariate max-stable...
mubz.copulamu(B,z) for the copula model
mubz.lnormalmu(B,z) for the Log-normal model
mubz.normalmu(B,z) for the Gaussian model
plot3d.densgrid3D visualisation of the computed values of the likelihood...
rCMSSimulation of vectors in the maximum domain of attraction of...
rSchlatherExcessSimulation of vectors in the maximum domain of attraction of...
select.meanSelects vectors for which the mean of the components is...
simultoccur.lLikelihood for vectors of componentwise maxima with...
spatialSpatial models
spatial-classspatial class
HiDimMaxStable documentation built on May 29, 2017, 6:20 p.m.