# sccic 0.1.1

## New features

* `cic()` gains a `discrete` argument (default `FALSE`). When `discrete = TRUE`,
  the discrete CIC estimator of Theorem 4.1 of Athey and Imbens (2006) is used
  instead of the continuous estimator (Theorem 3.1). The discrete variant
  correctly handles outcomes with mass points (e.g., integer-valued durations)
  by integrating the counterfactual over the corresponding quantile band rather
  than applying a point mapping. Analytic standard errors are suppressed with an
  informative message when `discrete = TRUE`, as Theorem 5.1 assumes a
  continuous distribution; bootstrap inference is recommended instead.

* `print.cic()` now displays which estimator was used
  (`continuous (Theorem 3.1)` or `discrete (Theorem 4.1)`).

## Internal

* Added internal helper functions `ecdf_eval_left()`, `integral_quantile()`,
  and `compute_cic_cf()` to support the discrete CIC estimator.

# sccic 0.1.0

* Initial CRAN release.
