visualize_results: Visualize MCMC results

In Rtwalk: An MCMC Sampler Using the t-Walk Algorithm

Visualize MCMC results

Description

Produces trace plots, marginal densities and joint plots depending on the dimension of the parameter space.

Usage

visualize_results(
  samples,
  true_values = NULL,
  title = "Results",
  burnin_frac = 0.2,
  true_covariance = NULL,
  show_acf = TRUE
)

Arguments

samples	Matrix of MCMC samples.
true_values	Optional vector of true parameter values.
title	Plot title.
burnin_frac	Burn-in fraction.
true_covariance	Optional true covariance matrix.
show_acf	Logical; whether to display autocorrelation plots.

Examples

log_post <- function(x) dnorm(x, log = TRUE)
res <- twalk(log_post, n_iter = 2000, x0 = -2, xp0 = 2)
visualize_results(
  res$all_samples,
  true_values = 0,
  title = "Standard normal"
)

Rtwalk documentation built on Feb. 5, 2026, 5:07 p.m.