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rbbnp 0.3.0

Major Improvements

• Added automatic bandwidth selection using cross-validation or Silverman’s rule of thumb
• Improved performance of get_est_Ar() function by approximately 50%, significantly accelerating main function execution time
• Improved code structure with centralized configuration management
• Added unit tests

New Features

• Implemented automatic bandwidth selection with two methods:
  • Cross-validation (h_method = "cv") for optimal accuracy
  • Silverman’s rule of thumb (h_method = "silverman") for faster computation
• Added create_biasBound_config() function for centralized configuration management
• Added create_kernel_functions() factory for flexible kernel function creation
• Changed default bandwidth parameter h to NULL to enable automatic selection

Performance Optimization

• Optimized get_est_Ar() function by:
  • Precomputing avg_phi_log values for all frequencies
  • Enhancing the optimization algorithm for determining smoothness parameters
• Increased default resolution for kernel function approximation

Bug Fixes and Edge Case Handling

• Modified get_sigma() and get_sigma_yx() to handle negative density estimates by returning 0 instead of NaN
• Enhanced get_conditional_var() to ensure non-negative variance estimates
• Fixed sinc() function to properly handle x = 0 cases
• Improved handling of NA values in Fourier transform calculations

Documentation

• Updated examples to demonstrate automatic bandwidth selection
• Improved parameter descriptions throughout the package

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.