Package: stors 1.0.1
Ahmad ALQabandi
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.
Authors:
stors_1.0.1.tar.gz
stors_1.0.1.tar.gz(r-4.5-noble)stors_1.0.1.tar.gz(r-4.4-noble)
stors_1.0.1.tgz(r-4.4-emscripten)stors_1.0.1.tgz(r-4.3-emscripten)
stors.pdf |stors.html✨
stors/json (API)
| # Install 'stors' in R: |
| install.packages('stors', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ahmad-alqabandi/stors/issues
Pkgdown site:https://ahmad-alqabandi.github.io
Last updated 15 days agofrom:bd357d1be5. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 11 2025 |
| R-4.5-linux-x86_64 | OK | Mar 11 2025 |
| R-4.4-linux-x86_64 | OK | Mar 11 2025 |
Exports:build_proposalbuild_samplerdelete_built_in_proposaldelete_proposalload_proposalprint_proposalssave_proposalsrbeta_customsrbeta_optimizesrchisq_customsrchisq_optimizesrexpsrexp_customsrexp_optimizesrgamma_customsrgamma_optimizesrlaplacesrlaplace_customsrlaplace_optimizesrnormsrnorm_customsrnorm_optimizesrpareto_customsrpareto_optimize
Dependencies:clidigestmicrobenchmarkrlang
Sampling from Built-in Distributions using stors
Rendered fromSampling_Built_in_distributions.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2025-03-11
Started: 2025-03-11
Sampling from User-Defined Distributions using stors
Rendered fromSampling_user_distributions.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2025-03-11
Started: 2025-03-11
stors package
Rendered fromstors_package.Rmdusingknitr::rmarkdownon Mar 11 2025.Last update: 2025-03-11
Started: 2025-03-11
