# achieveGap 0.1.0

## Initial release

* First public release of the achieveGap package.
* Implements hierarchical penalized spline models for estimating
  achievement gap trajectories in longitudinal educational data.
* Provides the main function `gap_trajectory()` for fitting joint
  mixed-effects spline models with REML smoothing selection.
* Includes simultaneous confidence bands based on posterior simulation.
* Supports visualization and summary methods for estimated gap trajectories.
* Includes simulation utilities for benchmarking model performance.
