The Rasch Sampler
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.
Year of publication: |
2007-02-22
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Authors: | Verhelst, Norman ; Hatzinger, Reinhold ; Mair, Patrick |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 20.2007, i04
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Publisher: |
American Statistical Association |
Saved in:
freely available
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