Changes in version 0.2.1 (2025-06-30)                  

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.

                 Changes in version 0.2.0 (2025-03-06)                  

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.