FLM class

class pyActigraphy.analysis.FLM(basis, sampling_freq, max_order=None)

Class for Functional Linear Modelling

Attributes

sampling_freq	The sampling frequency of the basis functions.
nsamples	The number of sample points for the basis functions.
max_order	The maximal number of basis functions.
basis_functions	The basis functions.
beta	The scalar parameters of the basis function expansion.

Methods

fit(raw[, binarize, verbose])	Fit the actigraphy data using a basis function expansion.
evaluate(raw[, r])	Evaluate the basis function expansion.
fit_reader(reader[, binarize, verbose_fit, ...])	Fit the actigraphy data contained in a reader using a basis function expansion.
evaluate_reader(reader[, r, n_jobs, prefer, ...])	Evaluate the basis function expansion made on actigraphy data contained in a reader.
smooth(raw[, binarize, method, verbose])	Smooth the actigraphy data using a gaussian kernel.