Markov Chain Monte Carlo Sampler
Package: mcmcn
Type: Package
Title: Markov Chain Monte Carlo Sampler
Version: 1.0.0
Author@R: c(person("Jiayi", "Huang", , email = "hjy0708@mail.ustc.edu.cn", role = c("aut", "cre")), person("Yuecheng", "Zhang", , email = "an1999@mail.ustc.edu.cn", role = c("aut"))
Description: Simulates continuous distributions of random vectors using Markov chain Monte Carlo (MCMC). Users specify the distribution by an R function that evaluates the unnormalized density. Algorithms are random walk Metropolis algorithm (function mtrp), independence sampler algorithm (function mtrp_exp and mtrp_unif), Metropolis-Hastings algorithm (function mtrp_expu) and Gibbs sampler algorithm (function gibbs_norm and gibbs_multinom).
Depends: R (>= 3.6.1)
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: http://github.com/hjy78/mcmcn
BugReports: http://github.com/hjy78/mcmcn/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.