twalk-methods

print.twalk

summary.twalk

<p>S3 methods for inspecting t-walk MCMC output objects.</p>

internal

Implements the t-walk algorithm, a general-purpose, self-adjusting
Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as
described by Christen & Fox (2010) <doi:10.1214/10-BA603>. The t-walk requires
no tuning and is robust for a wide range of target distributions, including
high-dimensional and multimodal problems. This implementation includes an
option for running multiple chains in parallel to accelerate sampling and
facilitate convergence diagnostics.

Rodrigo Fonseca Villa

Rtwalk

An MCMC Sampler Using the t-Walk Algorithm

twalk-methods function

Methods for objects of class 'twalk' — twalk-methods

Methods for objects of class 'twalk'

twalk-methods: Methods for objects of class 'twalk'

Description

Usage

Arguments