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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 LeonelliORCID iD [aut, cre, cph]
Maintainer:Manuele Leonelli <manuele.leonelli at ie.edu>
BugReports:https://github.com/manueleleonelli/extrememix/issues
License:MIT + fileLICENSE
URL:https://github.com/manueleleonelli/extrememix
NeedsCompilation:yes
Citation:extrememix citation info
Materials:README,NEWS
CRAN checks:extrememix results

Documentation:

Reference manual:extrememix.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=extrememixto link to this page.


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