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_rw model-fitting function now supports
binomial models.vignette("age-standardization").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").plot method now accepts a list of
stand_surveil objects. 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.
November 2021: surveil’s first release.