EntropyMCMC-internal: Internal 'EntropyMCMC' Functions

In EntropyMCMC: MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation

Description

Various internal functions for the package EntropyMCMC; usage for some of these are displayed below.

Usage

target_norm(x, param)
RWHM_step(theta, target, q_pdf = gaussian_pdf, 
          q_proposal = gaussian_proposal, f_param, q_param, nba)
HM_step(theta, target, q_pdf, q_proposal, 
          f_param, q_param, nba)

Arguments

x	a vector of values, or objects.
target	a target density definition.
param	target - or proposal - density parameters (including data in a Bayesian model.
f_param	target density parameters (including data in a Bayesian model.
q_param	proposal density parameters.
theta	the d-dimensional parameter of the Markov chain.
nba	number of accepted moves along simulation, for HAstings-Metropolis MCMC's

Details

These functions and objects (lists) are usually not to be called by the user.

EntropyMCMC documentation built on May 2, 2019, 6:43 a.m.