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Python module for statistics built on top of NumPy/SciPy

Project Description

StatsPy is a Python module for statistics built on top of NumPy/SciPy. It contains a list of classes and tools intended to ease the design of complex distributions which can be later used to perform statistical tests or extract confidence intervals.

Install

After downloading/checking out files, to install you should run the setup.py script:

python setup.py install

If you are not familiar with Distutils, have a look to the official documentation.

Development

GIT

Latest sources can be checked out via:

git clone git://github.com:bruneli/statspy.git

or (if you have write privileges):

git clone git@github.com:bruneli/statspy.git

TODO

  • PF:
    • Multivariate PFs
    • Improve bounds for rv operations
  • Param:
    • For bayesian stats, add prior (posterior)
    • Add missing math functions (fabs, trigonometric, hyperbolic)
  • RV:
    • Operations: multiplication, division, power, exp, log
  • Hypothesis tests:
    • Improve handling of hypothesis
    • Bayesian/Frequentist Hybrid
    • Bayesian tests
  • Confidence intervals:
    • Neyman constructions
    • Bayesian credibility intervals

Release history Release notifications

This version
History Node

0.1.0a1

Download files

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Filename, size & hash SHA256 hash help File type Python version Upload date
statspy-0.1.0a1.tar.gz (39.4 kB) Copy SHA256 hash SHA256 Source None Sep 11, 2013

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