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  • License: MIT
  • Author: Steven Golovkine
  • Tags functional, data, analysis
  • Requires: Python >= 3.7, <4
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Project description

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 for more complete information on the available features within the package.

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Avatar for Steven from gravatar.com Steven

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Project links
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  • License: MIT
  • Author: Steven Golovkine
  • Tags functional, data, analysis
  • Requires: Python >= 3.7, <4
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1.0.2

1.0.1

1.0.0

0.8.7

This version

0.8.6

0.8.5

0.8.4

0.8.3

0.8.1

0.8.0

0.7.0

0.6.0

0.4.0

0.3.8

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3

0.2

0.1

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