# surveil 0.3.0

- Example code in the documentation has been improved
- The package vignettes have been re-written
- The
`standardize`

function is now slightly easier to use:
the standard population sizes provided by `data(standard)`

can be passed to the `standardize`

function without removing
any unused age groups. Previously, it was necessary to subset the
`standard`

data before using `standardize`

.

Another short illustration of cancer data analysis with
`surveil`

is provided here: https://connordonegan.github.io/surveil-paper/

# surveil 0.2.2

This release was built using `rstan`

2.26.23, which
incorporates Stan’s new syntax for declaring arrays. Some models seems
to run a little bit faster, but otherwise there are no changes that
users should notice. This update should also address all warnings from
tidyr regarding the use of deprecated tidyselect syntax.

# surveil 0.2.1

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.

# surveil 0.2.0

### 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.

# surveil 0.1.1

### 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.

# surveil 0.1.0

November 2021: surveil’s first release.