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bayesian-irt

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Commits

List of commits on branch master.
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2686265ebe11506c845ad269ac75ae6b6d0da286

Fixed formatting in README.

jjamalex committed 13 years ago
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859e5fbcf38756e918b18a5fd1d9fbca0a32453f

Fixed formatting in README.

jjamalex committed 13 years ago
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0925e5ff0d6715272fffb8af6d956cee0495239a

Fixed formatting in README.

jjamalex committed 13 years ago
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e6db3fc5f9a52f0e0d15ef26e43cdd212b7f3fb6

Converted README to markdown.

jjamalex committed 13 years ago
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94911e9918acdeaf2c225fea157a3b74929ac209

Added brief outline of use.

jjamalex committed 13 years ago
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0474d3d973f2a055b051f3fce53dc8a784f3621d

Initial commit.

jjamalex committed 13 years ago

README

The README file for this repository.

About

This is some example code for doing MIRT (multidimensional item response theory) simulations in Python using PyMC.

Requirements

PyLab

PyMC

Usage

Run simulation.py, toggling the generating variable to switch between generating mode (where we assume we know the underlying learner proficiencies, and generate a set of responses) and non-generating mode (when all we know is the responses, and we want to infer the underlying proficiencies).