FDApy

Name	FDApy JSON
Version	1.0.0 JSON
	download
home_page	https://github.com/StevenGolovkine/FDApy
Summary
upload_time	2023-12-29 13:28:03
maintainer
docs_url	None
author	Steven Golovkine
requires_python	>= 3.9, <4
license	MIT
keywords	functional data analysis
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage

            Statistics that deals with discrete observations of continuous d-dimensional
functions.

This package provide modules for the analysis of such data. It includes
methods for different dimensional data as well as irregularly sampled
functional data. An implementation of (multivariate) functional principal
component analysis is also given. Moreover, a simulation toolbox is provided.
It might be used to simulate different clusters of functional data.

Check out the `documentation <https://fdapy.readthedocs.io/en/stable/>`_ for
more complete information on the available features within the package.

            

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