Package: stors
Type: Package
Title: Step Optimised Rejection Sampling
Version: 1.0.1
Authors@R: c(
    person("Ahmad", "ALQabandi", email = "ahmad.alqabandi@durham.ac.uk",
           role = c("cre", "aut", "cph"),
           comment = c(ORCID = "0009-0006-0055-3846")),
    person("Louis", "Aslett", email = "louis.aslett@durham.ac.uk",
           role = c("aut", "ths", "cph"),
           comment = c(ORCID = "0000-0003-2211-233X")))
Maintainer: Ahmad ALQabandi <ahmad.alqabandi@durham.ac.uk>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: digest, microbenchmark, cli, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
Config/testthat/edition: 3
Depends: R (>= 4.2.0)
VignetteBuilder: knitr
URL: https://ahmad-alqabandi.github.io/stors/
NeedsCompilation: yes
Packaged: 2025-03-10 14:23:28 UTC; ahmad
Author: Ahmad ALQabandi [cre, aut, cph]
    (<https://orcid.org/0009-0006-0055-3846>),
  Louis Aslett [aut, ths, cph] (<https://orcid.org/0000-0003-2211-233X>)
Repository: CRAN
Date/Publication: 2025-03-11 17:00:02 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-03-11 17:05:45 UTC; unix
Archs: stors.so.dSYM
