Package: armspp 0.0.2

armspp: Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'

An efficient 'Rcpp' implementation of the Adaptive Rejection Metropolis Sampling (ARMS) algorithm proposed by Gilks, W. R., Best, N. G. and Tan, K. K. C. (1995) <doi:10.2307/2986138>. This allows for sampling from a univariate target probability distribution specified by its (potentially unnormalised) log density.

Authors:Michael Bertolacci [aut, cre]

armspp_0.0.2.tar.gz
armspp_0.0.2.zip(r-4.7-x86_64)armspp_0.0.2.zip(r-4.7-arm64)armspp_0.0.2.zip(r-4.6-x86_64)armspp_0.0.2.zip(r-4.6-arm64)armspp_0.0.2.zip(r-4.5-x86_64)
armspp_0.0.2.tgz(r-4.6-x86_64)armspp_0.0.2.tgz(r-4.6-arm64)armspp_0.0.2.tgz(r-4.5-x86_64)armspp_0.0.2.tgz(r-4.5-arm64)
armspp_0.0.2.tar.gz(r-4.7-arm64)armspp_0.0.2.tar.gz(r-4.7-x86_64)armspp_0.0.2.tar.gz(r-4.6-arm64)armspp_0.0.2.tar.gz(r-4.6-x86_64)
armspp_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
armspp/json (API)

# Install 'armspp' in R:

install.packages('armspp', repos = c('https://mbertolacci.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mbertolacci/armspp/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

3.70 score 1 stars 434 downloads 2 exports 1 dependencies

Last updated from:ad1ca0f642. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	110
linux-devel-x86_64	OK	147
source / vignettes	OK	387
linux-release-arm64	OK	124
linux-release-x86_64	OK	127
macos-release-arm64	OK	111
macos-release-x86_64	OK	209
macos-oldrel-arm64	OK	94
macos-oldrel-x86_64	OK	210
windows-devel-arm64	OK	326
windows-devel-x86_64	OK	132
windows-release-arm64	OK	321
windows-release-x86_64	OK	109
windows-oldrel-x86_64	OK	91
wasm-release	OK	117