dirmcmc package provides functions for simulating from a target distribution with known log unnormalized density and its derivative. The derivative information is needed to construct the DMH kernel, which is a generalization of random walk Metropolis Hastings kernel.
metropdir
: Implements the dmh algorithm to simulate from a given density.
metropdir.adapt
: Adaptive version of DMH algorithm.
iact
: Integrated auto correlation times of a univariate chain.
msjd
: Mean square jump distance of a multivariate chain.
mcmcdiag
: Some summary of diagnostics of a given chain.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.