Package: armspp
Title: Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'
Version: 0.0.2
Authors@R: person("Michael", "Bertolacci", email = "m.bertolacci@gmail.com", role = c("aut", "cre"))
Description: 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.
Depends: R (>= 3.2.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-24 09:02:03 UTC; mgnb
Author: Michael Bertolacci [aut, cre]
Maintainer: Michael Bertolacci <m.bertolacci@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-24 09:20:03 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-24 04:03:16 UTC; unix
Archs: armspp.so.dSYM
