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 + file LICENSE
URL:	https://ahmad-alqabandi.github.io/stors/
NeedsCompilation:	yes
Materials:	README
CRAN checks:	stors results

Documentation:

Reference manual:	stors.pdf
Vignettes:	Sampling from Built-in Distributions using stors (source, R code) Sampling from User-Defined Distributions using stors (source, R code) stors package (source, R code)

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-devel (arm64): stors_1.0.1.tgz, r-release (arm64): stors_1.0.1.tgz, r-oldrel (arm64): stors_1.0.1.tgz, r-devel (x86_64): stors_1.0.1.tgz, r-release (x86_64): stors_1.0.1.tgz, r-oldrel (x86_64): stors_1.0.1.tgz

Linking:

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