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python-distfit 2.0.2
Propagated dependencies: python-colourmap@1.2.1 python-joblib@1.5.2 python-matplotlib@3.10.8 python-numpy@2.3.1 python-packaging@25.0 python-pandas@2.3.3 python-pypickle@2.0.2 python-scatterd@1.4.2 python-scipy@1.16.3 python-statsmodels@0.14.5
Channel: guix-science
Location: guix-science/packages/statistics.scm (guix-science packages statistics)
Home page: https://erdogant.github.io/distfit
Licenses: Expat
Build system: pyproject
Synopsis: Probability density fitting in Python
Description:

distfit is a Python package for probability density fitting of univariate distributions for random variables. The distfit library can determine the best fit for over 90 theoretical distributions. The goodness-of-fit test is used to score for the best fit and after finding the best-fitted theoretical distribution, the loc, scale, and arg parameters are returned. It can be used for parametric, non-parametric, and discrete distributions.

Total packages: 1