Package: AdapSamp 1.1.1
AdapSamp: Adaptive Sampling Algorithms
For distributions whose probability density functions are log-concave, the adaptive rejection sampling algorithm can be used to build envelope functions for sampling. For others, we can use the modified adaptive rejection sampling algorithm, the concave-convex adaptive rejection sampling algorithm and the adaptive slice sampling algorithm. So we designed an R package mainly including 4 functions: rARS(), rMARS(), rCCARS() and rASS(). These functions can realize sampling based on the algorithms above.
Authors:
AdapSamp_1.1.1.tar.gz
AdapSamp_1.1.1.zip(r-4.5)AdapSamp_1.1.1.zip(r-4.4)AdapSamp_1.1.1.zip(r-4.3)
AdapSamp_1.1.1.tgz(r-4.4-any)AdapSamp_1.1.1.tgz(r-4.3-any)
AdapSamp_1.1.1.tar.gz(r-4.5-noble)AdapSamp_1.1.1.tar.gz(r-4.4-noble)
AdapSamp_1.1.1.tgz(r-4.4-emscripten)AdapSamp_1.1.1.tgz(r-4.3-emscripten)
AdapSamp.pdf |AdapSamp.html✨
AdapSamp/json (API)
# Install 'AdapSamp' in R: |
install.packages('AdapSamp', repos = c('https://keydom.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:8b6ded0b49. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | OK | Nov 21 2024 |
R-4.5-linux | OK | Nov 21 2024 |
R-4.4-win | OK | Nov 21 2024 |
R-4.4-mac | OK | Nov 21 2024 |
R-4.3-win | OK | Nov 21 2024 |
R-4.3-mac | OK | Nov 21 2024 |
Dependencies:pracma