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-4.5)armspp_0.0.2.zip(r-4.4)armspp_0.0.2.zip(r-4.3)
armspp_0.0.2.tgz(r-4.5-x86_64)armspp_0.0.2.tgz(r-4.5-arm64)armspp_0.0.2.tgz(r-4.4-x86_64)armspp_0.0.2.tgz(r-4.4-arm64)armspp_0.0.2.tgz(r-4.3-x86_64)armspp_0.0.2.tgz(r-4.3-arm64)
armspp_0.0.2.tar.gz(r-4.5-noble)armspp_0.0.2.tar.gz(r-4.4-noble)
armspp_0.0.2.tgz(r-4.4-emscripten)armspp_0.0.2.tgz(r-4.3-emscripten)
armspp.pdf |armspp.html✨
armspp/json (API)
NEWS

# 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 7 scripts 244 downloads 2 exports 1 dependencies

Last updated 5 years agofrom:df7b64aa49. Checks:1 OK, 11 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 04 2025
R-4.5-win-x86_64	NOTE	Mar 04 2025
R-4.5-mac-x86_64	NOTE	Mar 04 2025
R-4.5-mac-aarch64	NOTE	Mar 04 2025
R-4.5-linux-x86_64	NOTE	Mar 04 2025
R-4.4-win-x86_64	NOTE	Mar 04 2025
R-4.4-mac-x86_64	NOTE	Mar 04 2025
R-4.4-mac-aarch64	NOTE	Mar 04 2025
R-4.4-linux-x86_64	NOTE	Mar 04 2025
R-4.3-win-x86_64	NOTE	Mar 04 2025
R-4.3-mac-x86_64	NOTE	Mar 04 2025
R-4.3-mac-aarch64	NOTE	Mar 04 2025