VDPO 0.2.0

• 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.

VDPO 0.1.0

• Initial CRAN submission.