The exp_stats() function | Grouped data | Target status | Weighted results | Expected values and A/E ratios | Control variables | Credibility | Confidence intervals | Miscellaneous | Summary method | Column names | Applying exp_stats to a non-exposed_df data frame | Limitations

Toy census data | Policy year exposures | Study start date | Target status | Other exposure periods | Calendar years | Quarters, months, and weeks | Convenience functions | Split exposures by calendar period and policy year | Tidymodels recipe step | Miscellaneous | Column names | Treatment of additional columns in the census data | Stacking exposed_df objects | dplyr verb methods and exposed_df class persistence | Limitations

Simulated data set | Creating exposed data | Experience study summary function | Grouped experience data | Actual-to-expected rates | autoplot() and autotable() | summary() | Shiny App

Working with aggregate experience data | Policy duration functions | Predictive modeling support functions

When offsetreg is not necessary | Offsets supported in model formulas: glm() | Offsets not supported in model formulas: glmnet() | When offsetreg is necessary | Using recipe() when offsets cannot be specified in a formula | Resampling when offsets cannot be specified in a formula

Simulated transaction and account value data | The add_transactions() function | The trx_stats() function | Grouped data | Expressing transactions as a percentage of another value | Confidence intervals | autoplot() and autotable() | Miscellaneous | Selecting and combining transaction types | Partial exposures are removed as a default | Summary method | Column names | Limitations