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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 Leonelli ORCID iD [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:

Please use the canonical form https://CRAN.R-project.org/package=extrememix to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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