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.
Originalsprache | Englisch |
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Seiten (von - bis) | 1 - 14 |
Fachzeitschrift | Journal of Statistical Software |
Jahrgang | 20 |
Ausgabenummer | 4 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2007 |