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:Dong Zhang

AdapSamp_1.1.1.tar.gz
AdapSamp_1.1.1.zip(r-4.7)AdapSamp_1.1.1.zip(r-4.6)AdapSamp_1.1.1.zip(r-4.5)
AdapSamp_1.1.1.tgz(r-4.6-any)AdapSamp_1.1.1.tgz(r-4.5-any)
AdapSamp_1.1.1.tar.gz(r-4.7-any)AdapSamp_1.1.1.tar.gz(r-4.6-any)
AdapSamp_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 240 downloads 4 exports 1 dependencies

Last updated from:8b6ded0b49. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK155
linux-release-x86_64OK91
macos-release-arm64OK140
macos-oldrel-arm64OK204
windows-develOK68
windows-releaseOK56
windows-oldrelOK68
wasm-releaseOK89

Exports:rARSrASSrCCARSrMARS

Dependencies:pracma