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Changelog

Version 0.2.1

Maintainer: Heyang Ji

Previous Version: 0.2.0

Bug Fix

• Fixed an issue in the ME.fcQR_CLS function where the data.Z argument did not support data frames containing non-numeric variables.

Visualization

• Enhanced the plot function for basis function series, providing more options and greater flexibility for visualization.

Documentation

• Improved the clarity of the documentation.

Version 0.2.0

Maintainer: Heyang Ji

Previous Version: 0.1.0

New Features

• Added classes and functions required for basis expansion using Functional Principal Component (FPC) basis, including:
  • S4 classes: numeric_basis, numericBasis_series.
    
  • S4 class methods: plot.numeric_series.
    
  • Functions: FPC_basis_expansion(), numeric_basis_expansion(), numericBasisSeries2fun().

Enhancements & Compatibility Improvements

• Enhanced existing functions to support the newly introduced FPC basis expansion:
  • Added an option to use the FPC basis in scalar-on-function regression functions, fcRegression and fcQR.
    
  • Updated s3 methods predict.fcRegression and predict.fcQR to support FPC basis.
    
  • Extended the generic function basis2fun with new methods.

New Utility Functions

• Introduced two functions for generating synthetic test datasets:
  • MECfda_simDataGen_fcReg
    
  • MECfda_simDataGen_ME

Bug Fixes

• Fixed an issue in bspline_basis_expansion and fourier_basis_expansion where the numerical integration step did not properly handle non-default integration intervals.

Other Improvements

• Added the function MEM_X_hat(), which returns \(\hat X(t)\) used in ME.fcRegression_MEM.
  
• Removed the package dependency on stringr.
  
• Updated and refined the help documentation and vignette content.
  
• Corrected author roles in the author list.

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.
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