plot_hdi: Plots highest density interval (HDI) from (MCMC) samples and...

In hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks

Plots highest density interval (HDI) from (MCMC) samples and prints HDI in the R console. HDI is indicated by a red line. Based on John Kruschke's codes.

Description

Plots highest density interval (HDI) from (MCMC) samples and prints HDI in the R console. HDI is indicated by a red line. Based on John Kruschke's codes.

Usage

plot_hdi(
  sample = NULL,
  ci_prob = 0.95,
  title = NULL,
  x_lab = "Value",
  y_lab = "Density",
  font_size = NULL,
  bin_size = 30,
  ...
)

Arguments

sample	MCMC samples
ci_prob	A scalar between 0 and 1, indicating the mass within the credible interval that is to be estimated.
title	Character value containing the main title for the plot
x_lab	Character value containing the x label
y_lab	Character value containing the y label
font_size	Integer value specifying the font size to be used for the plot labels
bin_size	Integer value specifyin ghow wide the bars on the histogram should be. Defaults to 30.
...	Arguments that can be additionally supplied to geom_histogram

Value

A vector containing the limits of the HDI

hBayesDM documentation built on Sept. 10, 2026, 1:12 a.m.