The vignettes have been updated. The discussion of Markov chain Monte Carlo (MCMC) diagnostics, which was previously in the main package demo vignette, is now a stand-alone vignette with a bit of introductory discussion on MCMC analysis.

#### Feature updates

- The
`stan_rw`

model-fitting function now supports binomial models.
- There is a new vignette on age-standardization and comparing risk across two age-stratified populations:
`vignette("age-standardization")`

.
- The
`group_diff`

function, for calculating pairwise measures of inequality, can now be used to compare age-stratified populations. This includes a calculation of total annual (and cumulative) excess cases and attributable risk derived from all of the age-specific rates and population sizes. See `vignette("age-standardization")`

.
- A new
`plot`

method now accepts a list of `stand_surveil`

objects. This will allow multiple standardized rates to be visualized on the same plot.
- All plots have a new default, custom ggplot theme.

#### Bug fixes

Previously, if multiple groups had been modeled, the cumulative percent change summary was printed incorrectly. Now, the print method will return a summary of the cumulative percent change for each group.

The plotting method for the group_diff object (pairwise inequality measures) has been adjusted so that the correct labels are used to identify the time periods on the x axis of the plots. Previously, if the `style = 'lines'`

argument was used, the x axis used generic index values on the x axis instead of the labeled time periods provided by the user.

November 2021: surveil’s first release.