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plot_pc_directions and plot_pc_diffs:
latent from fdasrvf already holds the eigenvalues of the
covariance matrix, so the values are no longer squared before being
scaledcompute_logloss (and therefore
compute_pfi with metric = "logloss") returning
NA when the response levels are not numbers, and added an
error for responses with more than two classesprep_testing_data centering the hfPCA and vfPCA
coefficients with statistics computed from the test data instead of the
training data, which made a test function’s coefficients depend on the
rest of the test batchprep_testing_data now aligns the test data with the
same elasticity and penalty that were used on the training data, and
accepts lambda and penalty_method to override
them. Both are validated, "norm" is accepted as an alias
for "l2gam" (fdasrvf::optimum.reparam only
takes the current penalty names), and the settings used are returned in
a new call componentprep_training_data now validates lambda
and penalty_method before passing them to
fdasrvf::time_warping, and the documentation of
lambda describes its role as the weight on the alignment
penaltycenter_warping_funs leaving the SRSF mean
uncenteredalign_pcdirs and
center_warping_funs, which were documented but
unavailablesize aesthetic and tidyselect
usage in the plotting functions, which removes the deprecation warnings
raised on every callalpha and
linetype in the plotting functions, which described them as
vectors when they are single valuesalign_pcdirs, and center_warping_funsThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.