Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Norman Verhelst, Reinhold Hatzinger, Patrick Mair
Title: The Rasch Sampler
Abstract: The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main diagonal, a problem prominent in social network analysis. In all cases the stationary distribution is uniform. The user has control on the serial dependency.

Page views:: 6526. Submitted: 2006-10-01. Published: 2007-02-22.
Paper: The Rasch Sampler     Download PDF (Downloads: 6311)
Supplements:
RaschSampler_0.8.0.tar.gz: R source package Download (Downloads: 1951; 40KB)
v20i04.R.zip: v20i04.R: R example code from the paper Download (Downloads: 2036; 522B)

DOI: 10.18637/jss.v020.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.