Title: Extreme Value Mixture Modelling and Threshold Estimation
Author: Yang Hu and Carl Scarrott, University of Canterbury
Description: The usual distribution functions, maximum likelihood inference and
model diagnostics for univariate stationary extreme value mixture models
are provided. Kernel density estimation including various boundary
corrected kernel density estimation methods, with cross-validation
likelihood based bandwidth estimators are included. Reasonable consistency
with the base functions in the \code{evd} package is provided, so that
Collate: 'dbetagpd.r' 'dgammagpd.r' 'dgpd.r' 'dnormgpd.r'
'rgammagpd.r' 'rgpd.r' 'rnormgpd.r' 'rweibullgpd.r' 'dgng.r'
'fgng.r' 'lgng.r' 'nlgng.r' 'pgng.r' 'qgng.r' 'rgng.r'
'fgngcon.r' 'lgngcon.r' 'nlgngcon.r' 'pgngcon.r' 'qgngcon.r'
'rgngcon.r' 'tcplot.r' 'dhpd.r' 'fhpd.r' 'lhpd.r' 'nlhpd.r'
'phpd.r' 'qhpd.r' 'rhpd.r' 'dhpdcon.r' 'fhpdcon.r' 'lhpdcon.r'
'nllognormgpdcon.r' 'ddwm.r' 'fdwm.r' 'ldwm.r' 'nldwm.r'
'pdwm.r' 'qdwm.r' 'rdwm.r' 'dkden.r' 'pkden.r' 'qkden.r'
'rhpdcon.r' 'rkden.r' 'fkden.r' 'lkden.r' 'nlkden.r'
'dbckden.r' 'pbckden.r' 'qbckden.r' 'rbckden.r' 'lbckden.r'
'qmgammagpd.r' 'rmgammagpd.r' 'dgkg.r' 'fgkg.r' 'lgkg.r'
'nlgkg.r' 'pgkg.r' 'qgkg.r' 'rgkg.r' 'dbckdengpd.r'

Title: Extreme Value Mixture Modelling, Threshold Estimation and
Boundary Corrected Kernel Density Estimation
corrected kernel density estimation methods and a wide choice of kernels,
with cross-validation likelihood based bandwidth estimator.
Reasonable consistency with the base functions in the evd package is
provided, so that users can safely interchange most code.
Collate: 'checking.r' 'dbckden.r' 'dbckdengpd.r' 'dbckdengpdcon.r'
'dgammagpdcon.r' 'dgkg.r' 'dgkgcon.r' 'dgng.r' 'dgngcon.r'
'dgpd.r' 'dhpd.r' 'dhpdcon.r' 'dkden.r' 'dkdengpd.r'
'fgammagpdcon.r' 'fgkg.r' 'fgkgcon.r' 'fgng.r' 'fgngcon.r'
'fgpd.r' 'fhpd.r' 'fhpdcon.r' 'fkden.r' 'fkdengpd.r'
'mrlplot.r' 'tcplot.r' 'undocumented.r' 'dmgamma.r' 'fmgamma.r'

Package: evmix
Title: Extreme Value Mixture Modelling, Threshold Estimation and
Boundary Corrected Kernel Density Estimation
Version: 2.1
Date: 2014-06-03
Author: Yang Hu and Carl Scarrott, University of Canterbury
Maintainer: Carl Scarrott <carl.scarrott@canterbury.ac.nz>
Depends: stats, graphics, MASS, gsl
Description: The usual distribution functions, maximum likelihood inference and
model diagnostics for univariate stationary extreme value mixture models
are provided. Kernel density estimation including various boundary
corrected kernel density estimation methods and a wide choice of kernels,
with cross-validation likelihood based bandwidth estimator.
Reasonable consistency with the base functions in the evd package is
provided, so that users can safely interchange most code.
License: GPL-3
URL: http://www.math.canterbury.ac.nz/~c.scarrott/evmix
Repository: CRAN
Packaged: 2014-06-04 04:44:44 UTC; cjscarrott
NeedsCompilation: no
Date/Publication: 2014-06-04 07:11:12