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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
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.