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

Documentation:

Reference manual:

AdapSamp.pdf

Downloads:

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-oldrel (arm64): AdapSamp_1.1.1.tgz, r-release (x86_64): AdapSamp_1.1.1.tgz, r-oldrel (x86_64): AdapSamp_1.1.1.tgz
Old sources:	AdapSamp archive

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