API reference

One page per module of fdatools' public API. Every name in fdatools.__all__, every public function and class of fdatools.stats, fdatools.sparse, fdatools.density, fdatools.profiling, fdatools.datasets, fdatools.io and fdatools.nn, and every result class is documented here. For worked examples, see the tutorials.

Module	Contents
Basis systems	Basis, BSpline, Fourier, Monomial, Exponential, Power, Constant, Polygonal
Core objects	FData, BiFData, LDO, inprod
Smoothing	smooth, SmoothResult, Smoother, gcv_curve, lambda_to_df, df_to_lambda
Decomposition	FPCA, FCCA
Regression	fregress, FRegress, FRegressResult, FRegressStderr, FRegressCV, linmod, LinmodResult
Registration	register, landmark_register, RegistrationResult, AmpPhaseDecomposition, Registrator
Dynamics	PDA, PDAStability, phase_plane
Statistics	cov, cor, depth, boxplot, t_test, f_test, confidence_band, ConfidenceBand, plot_beta, cycleplot, plot_scores, DepthResult, BoxplotResult, PermutationTestResult
Sparse data (PACE)	PACE, SparseCov, sparse_mean, sparse_cov
Density and intensity	fit_density, fit_intensity, DensityResult, IntensityResult
Profiling (ODE parameters)	ODEModel, ProfiledODE, profile_ode, ProfileResult, InnerFit, Residuals, cstr_model, cstr_inputs, fitzhugh_nagumo_model, simpson_rule
PyTorch layers	BasisLayer, SmoothingLayer, FDataDataset (optional extra)
Datasets	14 load_* loaders and the dataclasses they return (Growth, CanadianWeather, Lip, ...)
Input and output	from_pandas, LongData, to_pandas, to_xarray, read_rds