pflm.fpca

Functional PCA Classes

Classes

FpcaModelParams(measurement_error_variance, ...)	FPCA parameters, artifacts, and tuning metadata.
FunctionalDataGenerator(t, mean_func, ...)	Generator for synthetic functional data on a fixed grid.
FunctionalPCA([assume_measurement_error, ...])	Functional Principal Component Analysis (FPCA) for functional data.
FunctionalPCAMuCovParams([bw_mu, bw_cov, ...])	Parameters for mean and covariance functions in Functional PCA.
FunctionalPCAUserDefinedParams([t_mu, mu, ...])	User-defined parameters for Functional PCA.
SmoothedModelResult(grid, mu, cov[, grid_type])	Smoothed mean/covariance on a specific grid.