PyNLME v0.3.0

Added

• Multi-Dimensional Input Format: New support for grouped data format where each row represents a subject/group
  • stack_grouped_data() function to convert grouped format to stacked format
  • detect_data_format() function to automatically detect input format
  • Automatic format detection and conversion in validate_inputs()
  • Support for both 2D (single predictor) and 3D (multiple predictors) grouped input
  • Complete backwards compatibility with existing stacked format
  • New utility functions exported in main package API
• Enhanced User Experience: Users can now provide data in natural matrix format instead of manually stacking
• Comprehensive Testing: Added test_multidimensional_input.py with 7 test cases covering all scenarios
• Documentation: Added detailed documentation and examples for multi-dimensional input format
• Examples: Added demonstration scripts showing both traditional and new input formats

Fixed

• SAEM Numerical Stability: Fixed overflow warning in Metropolis-Hastings acceptance probability calculation
  • Implemented numerically stable log-space computation to avoid exp() overflow
  • Ensures robust SAEM algorithm performance with extreme parameter values