Skip to content

Latest commit

 

History

History
28 lines (21 loc) · 851 Bytes

README.md

File metadata and controls

28 lines (21 loc) · 851 Bytes
Raw

irrealis_bayes

I'm studying Allen B. Downey's "Think Bayes: Bayesian Statistics Made Simple", version 1.0.1. This repository is for tracking exploratory code I write as I study.

Demo usage

I've placed commented demos in the test cases defined in "irrealis_bayes/tests.py".

I've also placed a Matplotlib plotting demo in the "examples/" subdirectory.

Three-step modeling strategy

See test FunctionalTestPMF.test_dice_problem() in "irrealis_bayes/tests.py" for discussion:

  1. Choose a representation for the hypotheses.
  2. Choose a representation for the data.
  3. Write the likelihood function.

How to run tests

To run tests, type "python -m irrealis_bayes.tests". If you have "nose" and "coverage" installed, type "nosetests --with-coverage --cover-package=irrealis_orm".