statspy 0.1.0a1

Python module for statistics built on top of NumPy/SciPy

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.

Links

• Source code repository: https://github.com/bruneli/statspy

• User’s and Reference Guides: http://bruneli.github.io/statspy/

• Download releases: https://sourceforge.net/projects/statspy/files

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 [e-mail]: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