WalternativE / FSharp.Stats

statistical testing, linear algebra, machine learning, fitting and signal processing in F#

FSharp.Stats

FSharp.Stats is a multipurpose project for statistical testing, linear algebra, machine learning, fitting and signal processing.

Amongst others, following functionalities are covered:

Descriptive statistics	Fitting	Interpolation	Signal processing
Measures of central tendency Measures of dispersion Correlation Quantile/Rank Distribution	Linear regression Nonlinear regression Spline regression Goodness of fit	Polynomial interpolation Spline interpolation	Continuous wavelet transform Smoothing filters Peak detection
Linear algebra	Machine Learning	Optimization	Testing
Singular value decomposition	PCA Clustering Surprisal analysis	Brent minimization Bisection	ANOVA SAM RMT

Documentation

Indepth explanations, tutorials and general information about the project can be found here. The documentation and tutorials for this library are automatically generated (using the F# Formatting) from *.fsx and *.md files in the docs folder. If you find a typo, please submit a pull request!

Contributing

Please refer to the Contribution guidelines.

Library license

The library is available under Apache 2.0. For more information see the License file in the GitHub repository.