An efficient 'Rcpp' implementation of the Adaptive Rejection Metropolis Sampling (ARMS) algorithm proposed by Gilks, W. R., Best, N. G. and Tan, K. K. C. (1995) <doi:10.2307/2986138>. This allows for sampling from a univariate target probability distribution specified by its (potentially unnormalised) log density.
| Version: | 0.0.3 |
| Depends: | R (≥ 3.2.3) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | knitr,rmarkdown,covr,testthat |
| Published: | 2025-12-05 |
| DOI: | 10.32614/CRAN.package.armspp |
| Author: | Michael Bertolacci [aut, cre] |
| Maintainer: | Michael Bertolacci <m.bertolacci at gmail.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | armspp results |
| Reference manual: | armspp.html ,armspp.pdf |
| Vignettes: | Adaptive Rejection Metropolis Sampling in R (source,R code) |
| Package source: | armspp_0.0.3.tar.gz |
| Windows binaries: | r-devel:armspp_0.0.3.zip, r-release:armspp_0.0.3.zip, r-oldrel:armspp_0.0.3.zip |
| macOS binaries: | r-release (arm64):armspp_0.0.3.tgz, r-oldrel (arm64):armspp_0.0.3.tgz, r-release (x86_64):armspp_0.0.3.tgz, r-oldrel (x86_64):armspp_0.0.3.tgz |
| Old sources: | armspp archive |
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