autoplot.gride_bayes: Plot the simulated MCMC chains for the Bayesian 'Gride'

In Fradenti/intRinsic: Likelihood-Based Intrinsic Dimension Estimators

Plot the simulated MCMC chains for the Bayesian Gride

Description

Use this method without the .gride_bayes suffix. It displays the traceplot of the chain generated with Metropolis-Hasting updates to visually assess mixing and convergence. Alternatively, it is possible to plot the posterior density.

Usage

## S3 method for class 'gride_bayes'
autoplot(
  object,
  traceplot = FALSE,
  title = "Bayesian Gride - Posterior distribution",
  ...
)

Arguments

object	object of class gride_bayes. It is obtained using the output of the gride function when method = "bayes".
traceplot	logical. If FALSE, the function returns a plot of the posterior density. If TRUE, the function returns the traceplots of the MCMC used to simulate from the posterior distribution.
title	optional string to display as title.
...	other arguments passed to specific methods.

Value

object of class ggplot. It could represent the traceplot of the posterior simulations for the Bayesian Gride model (traceplot = TRUE) or a density plot of the simulated posterior distribution (traceplot = FALSE).

See Also

gride

Other autoplot methods: autoplot.Hidalgo(), autoplot.twonn_bayes(), autoplot.twonn_linfit(), autoplot.twonn_mle()

Fradenti/intRinsic documentation built on Sept. 15, 2024, 4:37 a.m.