README.md

In hjy78/mcmcn: Markov Chain Monte Carlo Sampler

mcmcn

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 = "[e-mail]", role = c("aut", "cre")), person("Yuecheng", "Zhang", , email = "[e-mail]", 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

hjy78/mcmcn documentation built on Jan. 1, 2020, 1:03 p.m.