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armspp  

Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'
View on CRAN: Click here


Download and install armspp package within the R console
Install from CRAN:
install.packages("armspp")

Install from Github:
library("remotes")
install_github("cran/armspp")

Install by package version:
library("remotes")
install_version("armspp", "0.0.2")



Attach the package and use:
library("armspp")
Maintained by
Michael Bertolacci
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-04
Latest Update: 2019-05-24
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) . This allows for sampling from a univariate target probability distribution specified by its (potentially unnormalised) log density.
How to cite:
Michael Bertolacci (2019). armspp: Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'. R package version 0.0.2, https://cran.r-project.org/web/packages/armspp. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.0.1 (2019-04-04 17:40)
Other packages that cited armspp R package
View armspp citation profile
Other R packages that armspp depends, imports, suggests or enhances
Complete documentation for armspp
Functions, R codes and Examples using the armspp R package
Some associated functions: arms . arms_gibbs . 
Some associated R codes: RcppExports.R . arms.R . armspp.R .  Full armspp package functions and examples
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