plot_prior_posterior_densities: Plot Prior and Posterior Marginal Distributions

In maomlab/BayesPharma: Tools for Bayesian Analysis of Non-Linear Pharmacology Models

Plot Prior and Posterior Marginal Distributions

Description

Generate a plot that shows for each model variable the distribution of the marginal posterior uncertainty overlaid on the distribution of the marginal prior uncertainty.

Usage

plot_prior_posterior_densities(
  model,
  title_label = "Prior Posterior Density",
  exclude_variables = c("__$", "lprior"),
  ...
)

Arguments

model	bpfit object resulting from fitting a BayesPharma model
title_label	string of the plot title.
exclude_variables	string vector of variables to exclude
...	further arguments passed to brms::brm() to sample from the prior

Value

ggplot2::ggplot() object.

Examples

## Not run: 
  plot_prior_posterior_densities(
    model = my_sigmoid_model,
    title_label = "Prior Posterior Density Plots")

## End(Not run)

maomlab/BayesPharma documentation built on Aug. 24, 2024, 8:45 a.m.