# RegimeChange 0.1.0

## Initial Release

### Detection Methods
* Added PELT (Pruned Exact Linear Time) for optimal changepoint detection
* Added CUSUM for cumulative sum based detection
* Added Binary Segmentation for greedy recursive detection
* Added Wild Binary Segmentation for robust detection
* Added BOCPD (Bayesian Online Changepoint Detection)
* Added Shiryaev-Roberts procedure for sequential detection
* Added ensemble method combining multiple algorithms

### Prior Specifications
* `normal_gamma()` for unknown mean and variance
* `normal_known_var()` for known variance models
* `normal_wishart()` for multivariate data
* `poisson_gamma()` for count data
* `geometric_hazard()` for constant hazard rate

### Features
* Unified `detect_regimes()` interface for all methods
* Online detection with `regime_detector()` class
* Uncertainty quantification via bootstrap and Bayesian posteriors
* Multivariate changepoint detection
* Comprehensive evaluation metrics
* ggplot2-based visualization suite
* Method comparison framework

### Documentation
* Introduction vignette
* Offline detection vignette
* Bayesian methods vignette
