Changes in version 0.2.0                        

Major Enhancements

fmriAR Integration for Advanced Prewhitening

  - New prewhiten parameter in lss() function provides comprehensive
    AR/ARMA noise modeling
      - Automatic AR order selection: p = "auto"
      - Voxel-specific parameters: pooling = "voxel"
      - Run-aware estimation: pooling = "run" with runs parameter
      - Parcel-based pooling: pooling = "parcel" with parcels parameter
      - ARMA models: method = "arma" for complex noise structures
  - Works with all LSS methods (r_optimized, cpp_optimized, oasis, etc.)
  - Leverages fmriAR's optimized C++ implementations with OpenMP

Backward Compatibility

  - Old oasis$whiten = "ar1" syntax remains functional with deprecation
    notice
  - Automatic conversion to new API format
  - Smooth migration path for existing code

Documentation Updates

  - Enhanced vignettes with prewhitening examples:
      - getting_started.Rmd: New section on temporal autocorrelation
      - oasis_method.Rmd: Advanced prewhitening demonstrations
  - Comprehensive examples in examples/prewhitening_examples.R
  - Updated function documentation with detailed parameter descriptions

Testing

  - New test suite for fmriAR integration (test-fmriAR-integration.R)
  - Updated existing tests to use new API
  - Backward compatibility tests included

Dependencies

  - Added fmriAR (>= 0.0.0.9000) to Imports
  - Added bbuchsbaum/fmriAR to Remotes

                        Changes in version 0.1.0                        

Added

  - Initial support for voxel-wise HRF estimation and LSS using
    voxel-specific HRFs via estimate_voxel_hrf() and lss_with_hrf().