Plot the distribution density of parameters within a same group from a single/multiple draw of the posterior distribution.
In the case of a hierarchical model, we might look at the distribution of patient parameter and compare it to the prior for the population distribution.
Usage
PPC_group_distribution(obj, parName = "", nDraws = 1)
Arguments
- obj
Matrix (rows: samples, cols: parameter) or Stanfit object.
- parName
Name of the observation-dependent (e.g. patient-dependent) parameter to consider (optional when obj is a matrix).
- nDraws
Number of draws to plot
Value
Ggplot of the distribution
References
A. Gelman, J. B. B. Carlin, H. S. S. Stern, and D. B. B. Rubin, Bayesian Data Analysis (Chapter 6), Third Edition, 2014.
Examples
X <- matrix(rnorm(1e3), ncol = 10)
PPC_group_distribution(X, "", 10)
