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-4.4-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'))

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.70 score 1 stars 7 scripts 324 downloads 2 exports 1 dependencies

Last updated 4 years agofrom:df7b64aa49. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64NOTENov 04 2024
R-4.5-linux-x86_64NOTENov 04 2024
R-4.4-win-x86_64NOTENov 04 2024
R-4.4-mac-x86_64NOTENov 04 2024
R-4.4-mac-aarch64NOTENov 04 2024
R-4.3-win-x86_64NOTENov 04 2024
R-4.3-mac-x86_64NOTENov 04 2024
R-4.3-mac-aarch64NOTENov 04 2024

Exports:armsarms_gibbs

Dependencies:Rcpp

Adaptive Rejection Metropolis Sampling in R

Rendered fromarms.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2019-04-01
Started: 2019-01-09