Changes in version 0.2.0 (2026-06-07)                  

  - Added support for partially observed functional data. This includes
    the new functions ffpo() and ffpo_2d() for defining partially
    observed functional terms in model formulae, po_fit() and
    po_2d_fit() for fitting the corresponding regression models, and the
    data generators data_generator_po_1d() and data_generator_po_2d().
  - po_fit() and po_2d_fit() now return the estimated functional
    coefficient together with its pointwise confidence intervals.
  - Added mfpca_vd(), a multivariate functional principal component
    analysis for variable domain data, together with a plot() method for
    the estimated eigenfunctions and scores.
  - Added vignettes for the partially observed models and for the
    variable domain multivariate functional principal component
    analysis.
  - Completed the documentation and added runnable examples for the new
    functions.
  - Fixed a bug in plot_ci() where the input object was referenced
    through the wrong variable, causing the function to error before
    producing a plot.

                 Changes in version 0.1.0 (2024-10-21)                  

  - Initial CRAN submission.