plot_posterior_density: Plot Posterior Density Distributions of modeled parameters

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

Plot Posterior Density Distributions of modeled parameters

Description

plots the bpfit() model density distribution of each parameter and the mean, lower confidence interval, and upper confidence interval.

Usage

plot_posterior_density(
  model,
  exclude_variables = c("__$", "lprior"),
  l_ci = 0.025,
  u_ci = 0.975,
  title_label = "Posterior Density Plots w/ Mean & 95% CI"
)

Arguments

model	bpfit model.
exclude_variables	list of regular expressions to match what variables to exclude.
l_ci	numeric unit of the lower confidence interval
u_ci	numeric unit of the upper confidence interval
title_label	string of the plot title.

Value

ggplot2::ggplot() object.

Examples

## Not run: 
  plot_posterior_density(
    model = my_sigmoid_model,
    l_ci = 0.025,
    u_ci = 0.975,
    title_label = "Posterior Density Plots with Mean and 95% CI")

## End(Not run)

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