Provides tools for estimation of edge weights on graphical models with respect to trees and block graphs and parameterized by a particular family of max-stable copulas. The edge weights are parameters of tail dependence between adjacent variables and these edge weights determine the joint tail dependence between all variables in the context of a particular parametric model. For methods of moment estimator, composite likelihood estimator please see Asenova et al. (2021) <doi:10.1007/s10687-021-00407-5>. For estimation based on extremal coefficients see Asenova et al. (2021) as well as Einmahl et al. (2016) <doi:10.2139/ssrn.2717531>. For cliquewise estimation please see Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0), igraph |
Imports: | abind (≥ 1.4.5), copula (≥ 0.999.19), quadprog (≥ 1.5.5), mvtnorm (≥ 1.0.8), methods, mev (≥ 1.13.1) |
Suggests: | knitr, rmarkdown, corrplot, testthat |
Published: | 2023-02-12 |
Author: | Stefka Asenova [aut, cre] |
Maintainer: | Stefka Asenova <stefkakirilova at yahoo.com> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | gremes results |
Package source: | gremes_0.1.1.tar.gz |
Windows binaries: | r-devel: gremes_0.1.1.zip, r-release: gremes_0.1.1.zip, r-oldrel: gremes_0.1.1.zip |
macOS binaries: | r-release (arm64): gremes_0.1.1.tgz, r-oldrel (arm64): gremes_0.1.1.tgz, r-release (x86_64): gremes_0.1.1.tgz, r-oldrel (x86_64): gremes_0.1.1.tgz |
Old sources: | gremes archive |
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