- Several updates to align with the R version of actxps
- Added optional confidence interval outputs to `ExpStats` and `TrxStats` objects
- Added an `expose_split()` method to `ExposedDF` classes, which divides calendar period exposures into pre- and post-policy anniversary segments. This creates a `SplitExposedDF` object, which is a subclass of `ExposedDF`.
- Added special plotting functions `ExpStats.plot_termination_rates()`, `ExpStats.plot_actual_to_expected()`, and `TrxStats.plot_utilization_rates()`
- Added `from_DataFrame` class methods to ExpStats and TrxStats objects that enables the creation of experience summary objects pre-aggregated data sets.
- Added the `great_tables` package as the backend for table() methods
- Shiny UI updates
- Added a 'points' geom, log 10 y-axis, and confidence interval options to plot methods
- Added sample data for pre-aggregated exposures (`load_agg_sim_dat()`)
- Bug fix - the target status wasn't being fully exposed when using calendar period exposures
- The assumed default status on `ExposedDF` objects is now the most common status instead of the first observed status.
- Added helper background functions for column selection
- Added several articles to the package's website
- Current differences from the R version are:
- No support for plotting a second variable on the y-axis for `.plot()` methods
- No predictive modeling support function (`add_predictions()`, `step_expose()`)
- Table output cannot be saved to a png directly in the shiny app
- functions like `pol_interval()` don't accept arbitrary durations. Only 'year', 'quarter', 'month', or 'week' are allowed.