stors: Step Optimised Rejection Sampling
Fast and efficient sampling from general univariate probability density functions. Implements a rejection sampling approach designed to take advantage of modern CPU caches and minimise evaluation of the target density for most samples. Many standard densities are internally implemented in 'C' for high performance, with general user defined densities also supported. A paper describing the methodology will be released soon.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.2.0) |
| Imports: | digest,microbenchmark,cli,rlang |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0),ggplot2 |
| Published: | 2025-03-11 |
| DOI: | 10.32614/CRAN.package.stors |
| Author: | Ahmad ALQabandi [cre, aut, cph], Louis Aslett [aut, ths, cph] |
| Maintainer: | Ahmad ALQabandi <ahmad.alqabandi at durham.ac.uk> |
| License: | MIT + fileLICENSE |
| URL: | https://ahmad-alqabandi.github.io/stors/ |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | stors results |
Documentation:
Downloads:
| Package source: | stors_1.0.1.tar.gz |
| Windows binaries: | r-devel:stors_1.0.1.zip, r-release:stors_1.0.1.zip, r-oldrel:stors_1.0.1.zip |
| macOS binaries: | r-release (arm64):stors_1.0.1.tgz, r-oldrel (arm64):stors_1.0.1.tgz, r-release (x86_64):stors_1.0.1.tgz, r-oldrel (x86_64):stors_1.0.1.tgz |
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