Make some distributions from the 'C++' library 'Boost' available in 'R'. In addition, the normal-inverse Gaussian distribution and the generalized inverse Gaussian distribution are provided. The distributions are represented by 'R6' classes. The method to sample from the generalized inverse Gaussian distribution is the one given in "Random variate generation for the generalized inverse Gaussian distribution" Luc Devroye (2012) <doi:10.1007/s11222-012-9367-z>.
| Version: | 1.0.0 |
| Imports: | R6, Rcpp, RcppNumerical, stats |
| LinkingTo: | BH, Rcpp, RcppEigen, RcppNumerical |
| Suggests: | plotly |
| Published: | 2023-08-10 |
| Author: | Stéphane Laurent [aut, cre] |
| Maintainer: | Stéphane Laurent <laurent_step at outlook.fr> |
| BugReports: | https://github.com/stla/boodist/issues |
| License: | GPL-3 |
| URL: | https://github.com/stla/boodist |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | README NEWS |
| CRAN checks: | boodist results |
| Reference manual: | boodist.pdf |
| Package source: | boodist_1.0.0.tar.gz |
| Windows binaries: | r-devel: boodist_1.0.0.zip, r-release: boodist_1.0.0.zip, r-oldrel: boodist_1.0.0.zip |
| macOS binaries: | r-release (arm64): boodist_1.0.0.tgz, r-oldrel (arm64): boodist_1.0.0.tgz, r-release (x86_64): boodist_1.0.0.tgz, r-oldrel (x86_64): boodist_1.0.0.tgz |
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