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Authors: Norman Verhelst, Reinhold Hatzinger, Patrick Mair
Title: [download]
(2190)The Rasch Sampler
Reference: Vol. 20, Issue 4, Feb 2007
Submitted 2006-10-01, Accepted 2007-02-22
Type: Article
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.
Paper: [download]
(2190)The Rasch Sampler
(application/pdf, 285.2 KB)
Supplements: [download]
(782)RaschSampler_0.8.0.tar.gz: R source package
(application/x-gzip, 40.8 KB)
[download]
(812)v20i04.R: R example code from the paper
(application/zip, 522 Bytes)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: Commons GNU General Public License License
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