Metadata-Version: 2.1
Name: FDApy
Version: 0.8.7
Home-page: https://github.com/StevenGolovkine/FDApy
Author: Steven Golovkine
Author-email: steven_golovkine@icloud.com
License: MIT
Keywords: functional data analysis
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >= 3.9, <4
Description-Content-Type: text/x-rst
License-File: LICENSE

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.
