SCE 1.1.1

New Features

• Added parameter validation warnings to evaluate() S3 methods
  • evaluate.SCA() now automatically retrieves predictants from the model object (no need to specify)
  • evaluate.SCA() now specifically warns if Training_data is provided (not needed for SCA evaluation)
  • evaluate.SCE() now automatically retrieves predictants from the model object (no need to specify)
  • Both methods now warn if extra parameters beyond required ones are provided
• Enhanced user experience by providing clear guidance on correct parameter usage

SCE 1.1.0

New Features

• Added S3 class system for SCE and SCA objects with dedicated methods
• Implemented print(), summary(), predict(), importance(), and evaluate() methods for S3 objects
• Added Plot_RFE() function for visualizing recursive feature elimination results
• Enhanced backward compatibility - functions now work with both S3 objects and legacy list formats

Improvements

• Improved parallel processing with proper function exports to cluster
• Enhanced error handling and input validation
• Updated documentation with comprehensive examples using S3 methods
• Consolidated documentation files for better organization

Bug Fixes

• Resolved S3 method dispatch problems
• Corrected parameter order in Model_simulation() and SCA_tree_predict() functions

Documentation

• Updated all .Rd files to use S3 methods in examples
• Added comprehensive README with installation and usage instructions
• Improved function documentation with better examples
• Added cross-references between related functions

Technical Changes

• Added proper NAMESPACE configuration with S3 method registrations
• Imported required graphics functions (legend, lines) for plotting
• Enhanced package structure for better maintainability