| Authors: | Norman Verhelst, Reinhold Hatzinger, Patrick Mair |
| Title: | [download] (2620)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] (2620)The Rasch Sampler (application/pdf, 285.2 KB) |
| Supplements: | [download] (963)RaschSampler_0.8.0.tar.gz: R source package (application/x-gzip, 40.8 KB) |
| [download] (1000)v20i04.R: R example code from the paper (application/zip, 522 Bytes) |
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| Resources: | BibTeX | OAI |
