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.
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 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
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