cleanup

Author: mitzimorris

jupyter/sum-to-zero/README.md

@@ -1,12 +1,13 @@
-Notebooks to demonstrate correctness and efficiency of constrained parameter type `sum\_to\_zero\_vector`,
+Notebooks to demonstrate correctness and efficiency of constrained parameter type `sum_to_zero_vector`,
 introduced in Stan 2.36.
 
 HTML page has all necessary resources.  To rebuild,  add `stan-dev/quarto-config` submodule.
 
 Included in the GitHub repository for this notebook are several python files of helper functions.
 
+* eval_efficiencies.py - run models repeatedly, get average performance stats.
+* utils.py - simulate data for binomial model.
 * utils\_html.py - format Stan summaries for this notebook.
-* utils\_dataviz.py - summarize and plot the posterior sample.
 * utils\_bym2.py - compute data inputs to the BYM2 model.
 * utils\_nyc\_map.py - munge the New York City census tract map.