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: 1.1.1
Imports: pracma, stats
Published: 2018-03-21
Author: Dong Zhang
Maintainer: Dong Zhang <dzhang0716 at 126.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: AdapSamp results

Downloads:

Reference manual: AdapSamp.pdf
Package source: AdapSamp_1.1.1.tar.gz
Windows binaries: r-devel: AdapSamp_1.1.1.zip, r-release: AdapSamp_1.1.1.zip, r-oldrel: AdapSamp_1.1.1.zip
macOS binaries: r-release (arm64): AdapSamp_1.1.1.tgz, r-release (x86_64): AdapSamp_1.1.1.tgz, r-oldrel: AdapSamp_1.1.1.tgz
Old sources: AdapSamp archive

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