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