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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 
[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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=extrememix
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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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