NEWS

---

fmrilss 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

fmrilss 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().