PPC_group_distribution | R Documentation |
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.
PPC_group_distribution(obj, parName = "", nDraws = 1)
obj |
Matrix (rows: samples, cols: parameter) or Stanfit object. |
parName |
Name of the observation-dependent (e.g. patient-dependent) parameter to consider (optional when |
nDraws |
Number of draws to plot |
Ggplot of the distribution
A. Gelman, J. B. B. Carlin, H. S. S. Stern, and D. B. B. Rubin, Bayesian Data Analysis (Chapter 6), Third Edition, 2014.
X <- matrix(rnorm(1e3), ncol = 10) PPC_group_distribution(X, "", 10)
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