BGGM (version 2.1.5)

convergence: MCMC Convergence

Description

Monitor convergence of the MCMC algorithms.

Usage

convergence(object, param = NULL, type = "trace", print_names = FALSE)

Value

A list of ggplot objects.

Arguments

object

An object of class estimate or explore

param

Character string. Names of parameters for which to monitor MCMC convergence.

type

Character string. Which type of convergence plot ? The current options are trace (default) and acf.

print_names

Logical. Should the parameter names be printed (defaults to FALSE)? This can be used to first determine the parameter names to specify in type.

Examples

# \donttest{
# note: iter = 250 for demonstrative purposes

# data
Y <- ptsd[,1:5]

#########################
###### continuous #######
#########################
fit <- estimate(Y, iter = 250,
                progress = FALSE)

# print names first
convergence(fit, print_names = TRUE)

# trace plots
convergence(fit, type = "trace",
            param = c("B1--B2", "B1--B3"))[[1]]

# acf plots
convergence(fit, type = "acf",
            param = c("B1--B2", "B1--B3"))[[1]]
# }