Supervised Classification for Functional Data via Signed Depth

Documentation for package ‘fdclassify’ version 0.1.0

bayes_depth_classify	Bayesian Kernel-Density Classifier on Signed Depth
fm_depth	Fraiman-Muniz Functional Depth
gam_depth_classify	GAM Classifier on Signed Depth
krnn_cv	Cross-Validation for k-RNN Neighbourhood Size
krnn_fit	k-Ranked Nearest Neighbour Classifier for Functional Data
krnn_smoother	k-RNN Moving-Average Smoother
logistic_depth_classify	Logistic Regression Classifier on Signed Depth
plot_krnn_cv	Plot a krnn_cv Object
plot_krnn_smoother	Plot a krnn_smoother Object
predict.krnn_fit	Predict Method for krnn_fit Objects
print.fd_bayes_fit	Bayesian Kernel-Density Classifier on Signed Depth
print.fd_gam_fit	GAM Classifier on Signed Depth
print.fd_logistic_fit	Logistic Regression Classifier on Signed Depth
print.fd_signed_depth	Signed Depth
print.krnn_cv	Cross-Validation for k-RNN Neighbourhood Size
print.krnn_fit	k-Ranked Nearest Neighbour Classifier for Functional Data
reference_curve	Reference (Median) Curve
signed_depth	Signed Depth
signed_distance_integral	Signed Distance Integral
simulate_fd	Simulate a Two-Group Functional Dataset