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Tools for analyzing tail dependence in any sample or in particular theoretical models. The package uses only theoretical and non parametric methods, without inference. The primary goals of the package are to provide: (a)symmetric multivariate extreme value models in any dimension; theoretical and empirical indices to order tail dependence; theoretical and empirical graphical methods to visualize tail dependence.
| Version: | 1.1 |
| Depends: | igraph, maps, partitions, graphicalExtremes, R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 0.12.10) |
| LinkingTo: | Rcpp, RcppArmadillo, BH |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-03-29 |
| DOI: | 10.32614/CRAN.package.satdad |
| Author: | Cécile Mercadier [aut, cre] |
| Maintainer: | Cécile Mercadier <mercadier at math.univ-lyon1.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | satdad results |
| Reference manual: | satdad.pdf |
| Vignettes: |
The satdad R package |
| Package source: | satdad_1.1.tar.gz |
| Windows binaries: | r-devel: satdad_1.1.zip, r-release: satdad_1.1.zip, r-oldrel: satdad_1.1.zip |
| macOS binaries: | r-release (arm64): satdad_1.1.tgz, r-oldrel (arm64): satdad_1.1.tgz, r-release (x86_64): satdad_1.1.tgz, r-oldrel (x86_64): satdad_1.1.tgz |
| Old sources: | satdad archive |
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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.