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Gumbel distribution functions (De Haan L. (2007) <doi:10.1007/0-387-34471-3>) implemented with the techniques of automatic differentiation (Griewank A. (2008) <isbn:978-0-89871-659-7>). With this tool, a user should be able to quickly model extreme events for which the Gumbel distribution is the domain of attraction. The package makes available the density function, the distribution function the quantile function and a random generating function. In addition, it supports gradient functions. The package combines 'Adept' (C++ templated automatic differentiation) (Hogan R. (2017) <doi:10.5281/zenodo.1004730>) and 'Eigen' (templated matrix-vector library) for fast computations of both objective functions and exact gradients. It relies on 'RcppEigen' for easy access to 'Eigen' and bindings to R.
Version: | 1.0.1 |
Imports: | Rcpp (≥ 1.0.2) |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2020-04-16 |
DOI: | 10.32614/CRAN.package.dgumbel |
Author: | Berent Ånund Strømnes Lunde [aut, cre, cph], Robin Hogan [ctb] (Author of included Adept library), The University of Reading [cph] (Copyright holder of included Adept library) |
Maintainer: | Berent Ånund Strømnes Lunde <lundeberent at gmail.com> |
BugReports: | https://github.com/blunde1/dgumbel/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/blunde1/dgumbel |
NeedsCompilation: | yes |
Materials: | README NEWS |
In views: | Distributions |
CRAN checks: | dgumbel results |
Reference manual: | dgumbel.pdf |
Package source: | dgumbel_1.0.1.tar.gz |
Windows binaries: | r-devel: dgumbel_1.0.1.zip, r-release: dgumbel_1.0.1.zip, r-oldrel: dgumbel_1.0.1.zip |
macOS binaries: | r-release (arm64): dgumbel_1.0.1.tgz, r-oldrel (arm64): dgumbel_1.0.1.tgz, r-release (x86_64): dgumbel_1.0.1.tgz, r-oldrel (x86_64): dgumbel_1.0.1.tgz |
Old sources: | dgumbel 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.
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