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.
stan_rwmodel-fitting function now supports binomial models.
group_difffunction, 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
plotmethod now accepts a list of
stand_surveilobjects. This will allow multiple standardized rates to be visualized on the same plot.
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.