This repo no longer being maintained. Please use https://github.com/dimagi/outlier-detect/ instead
outlier-detect (http://github.com/benb111/outlier-detect) Ben Birnbaum ([email protected]) Licensed under Apache (see LICENSE)
Python implementions of the Multinomial Model Algorithm (MMA) and the s-Value Algorithm (SVA), as described in
B. Birnbaum, B. DeRenzi, A. D. Flaxman, and N. Lesh. Automated quality control for mobile data collection. In DEV ’12, pages 1:1–1:10, 2012.
B. Birnbaum. Algorithmic approaches to detecting interviewer fabrication in surveys. Ph.D. Dissertation, Univeristy of Washington, Department of Computer Science and Engineering, 2012.
(See http://bbirnbaum.com/publications/ for PDF versions of these papers.)
To install: python setup.py install
Switch to the 'display' branch on git to use experimental visualization code in outlierdetect.