NEWS
VDPO 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.
VDPO 0.1.0 (2024-10-21)