Example of a hierarchical model
example_model
A hierarchical model created by fit_model
with a single chain of 100 MCMC iterations. It is a named
list of 4 objects:
A data frame of model training data that shows the writer, document name, cluster assignment, slope, principle component rotation angle, and wrapped principle component rotation angle for each training graph.
A data frame of the cluster fill counts for each model training document.
The model training information from graph_measurements
and cluster_fill_counts
formatted for RJAGS.
A model fit using the rjags_data
and the RJAGS and coda packages. It is an MCMC list that contains a single
MCMC object.