veesa 0.1.8

• Fixed the proportion of variability reported by 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 scaled
• Fixed compute_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 classes
• Fixed prep_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 batch
• prep_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 component
• prep_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 penalty
• Fixed center_warping_funs leaving the SRSF mean uncentered
• Exported align_pcdirs and center_warping_funs, which were documented but unavailable
• Replaced the deprecated size aesthetic and tidyselect usage in the plotting functions, which removes the deprecation warnings raised on every call
• Corrected the documentation of alpha and linetype in the plotting functions, which described them as vectors when they are single values
• Added tests for the plotting functions, the metric helpers, align_pcdirs, and center_warping_funs

veesa 0.1.7

• Added a function for plotting the differences between the PC directions and the mean

veesa 0.1.6

• Resubmission to CRAN with more fixes
• Made it to CRAN

veesa 0.1.5

• Resubmission to CRAN with fixes

veesa 0.1.4

• Initial CRAN submission!
• Documentation clean up

veesa 0.1.3

• Updated inputs in prep_training_data to match fdasrvf
• Added examples to documentation
• Cleaned up wording in documentation a bit
• Added tests

veesa 0.1.2

• Added shifted peaks data
• Added example code from manuscript

veesa 0.1.1

• Adjusted title in plot_pc_directions
• Updated code to new version of fdasrvf

veesa 0.1.0

• Initial version of package