The Rasch Sampler

Norman Verhelst, Reinhold Hatzinger and Patrick Mair

Journal of Statistical Software, 2007, vol. 020, issue i04

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.

Date: 2007-02-22
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:020:i04

DOI: 10.18637/jss.v020.i04

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