Package: AdapSamp 1.2.0
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. Version 1.2.0 fixes several correctness bugs and improves numerical robustness.
Authors:
AdapSamp_1.2.0.tar.gz
AdapSamp_1.2.0.zip(r-4.7-any)AdapSamp_1.2.0.zip(r-4.6-any)AdapSamp_1.2.0.zip(r-4.5-any)
AdapSamp_1.2.0.tgz(r-4.6-any)AdapSamp_1.2.0.tgz(r-4.5-any)
AdapSamp_1.2.0.tar.gz(r-4.7-any)AdapSamp_1.2.0.tar.gz(r-4.6-any)
AdapSamp_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
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 from:6b30adfec5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 113 | ||
| source / vignettes | OK | 199 | ||
| linux-release | OK | 105 | ||
| macos-release | OK | 211 | ||
| macos-oldrel | OK | 149 | ||
| windows-devel | OK | 65 | ||
| windows-release | OK | 68 | ||
| windows-oldrel | OK | 66 | ||
| wasm-release | OK | 95 |
Dependencies:pracma