Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies | Jirjies | Journal of Statistical Software
Authors: Saman Jirjies, Garrick Wallstrom, Rolf U. Halden, Matthew Scotch
Title: pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
Abstract: Jacquez's Q is a set of statistics for detecting the presence and location of space-time clusters of disease exposure. Until now, the only implementation was available in the proprietary SpaceStat software which is not suitable for a pipeline Linux environment. We have developed an open source implementation of Jacquez's Q statistics in Python using an object-oriented approach. The most recent source code for the implementation is available at https://github.com/sjirjies/pyJacqQ under the GPL-3. It has a command line interface and a Python application programming interface.

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Paper: pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies     Download PDF (Downloads: 348)
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pyJacqQ.zip: Python source code Download (Downloads: 31; 638KB)
v74i06-replication.zip: Replication materials Download (Downloads: 28; 2KB)

DOI: 10.18637/jss.v074.i06

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.