Current Volume | Browse
Vol. 25Vol. 24*Vol. 23Vol. 22*
Vol. 21Vol. 20*Vol. 19Vol. 18*
Vol. 17Vol. 16Vol. 15Vol. 14
Vol. 13*Vol. 12Vol. 11Vol. 10*
Vol. 9Vol. 8Vol. 7Vol. 6
Vol. 5Vol. 4Vol. 3Vol. 2
Vol. 1
* = Special Volume
| Search | RSS
Home | Instructions for Authors | LaTeX Style Files | Editorial Board

Authors: Norman Verheist, Reinhold Hatzinger, Patrick Mair
Title: [download]
(801)
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]
(801)
The Rasch Sampler
(application/pdf, 285.2 KB)
Supplements: [download]
(189)
RaschSampler_0.8.0.tar.gz: R source package
(application/x-gzip, 40.8 KB)
[download]
(183)
v20i04.R: R example code from the paper
(application/zip, 522 Bytes)
Resources: BibTeX | OAI
Current Volume | Browse
Vol. 25Vol. 24*Vol. 23Vol. 22*
Vol. 21Vol. 20*Vol. 19Vol. 18*
Vol. 17Vol. 16Vol. 15Vol. 14
Vol. 13*Vol. 12Vol. 11Vol. 10*
Vol. 9Vol. 8Vol. 7Vol. 6
Vol. 5Vol. 4Vol. 3Vol. 2
Vol. 1
* = Special Volume
| Search | RSS
Home | Instructions for Authors | LaTeX Style Files | Editorial Board