extrememix: Bayesian Estimation of Extreme Value Mixture Models

Fits extreme value mixture models, which are models for tails not requiring selection of a threshold, for continuous data. It includes functions for model comparison, estimation of quantity of interest in extreme value analysis and plotting. Reference: CN Behrens, HF Lopes, D Gamerman (2004) <doi:10.1191/1471082X04st075oa>. FF do Nascimento, D. Gamerman, HF Lopes <doi:10.1007/s11222-011-9270-z>.

Version:	0.0.1
Depends:	R (≥ 2.10)
Imports:	evd, ggplot2, gridExtra, mixtools, Rcpp, RcppProgress, stats, threshr
LinkingTo:	Rcpp, RcppProgress
Suggests:	knitr, rmarkdown
Published:	2024-10-04
DOI:	10.32614/CRAN.package.extrememix
Author:	Manuele Leonelli [aut, cre, cph]
Maintainer:	Manuele Leonelli <manuele.leonelli at ie.edu>
BugReports:	https://github.com/manueleleonelli/extrememix/issues
License:	MIT + file LICENSE
URL:	https://github.com/manueleleonelli/extrememix
NeedsCompilation:	yes
Citation:	extrememix citation info
Materials:	README NEWS
CRAN checks:	extrememix results

Documentation:

Reference manual:	extrememix.pdf
Vignettes:	overview (source, R code)

Downloads:

Package source:	extrememix_0.0.1.tar.gz
Windows binaries:	r-devel: extrememix_0.0.1.zip, r-release: extrememix_0.0.1.zip, r-oldrel: extrememix_0.0.1.zip
macOS binaries:	r-release (arm64): extrememix_0.0.1.tgz, r-oldrel (arm64): extrememix_0.0.1.tgz, r-release (x86_64): extrememix_0.0.1.tgz, r-oldrel (x86_64): extrememix_0.0.1.tgz

Linking:

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