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