mipfp: An R package for multidimensional array fitting and simulating multivariate bernoulli distributions

Johan Barthélemy, Thomas Suesse

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Résumé

This paper explains the mipfp package for R with the core functionality of updating an d-dimensional array with respect to given target marginal distributions, which in turn can be multi-dimensional. The implemented methods include the iterative proportional fitting procedure (IPFP), the maximum likelihood method, the minimum chi-square and least squares procedures. The package also provides an application of the IPFP to simulate data from a multivariate Bernoulli distribution. The functionalities of the package are illustrated through two practical examples: the update of a 3-dimensional contingency table to match the targets for a synthetic population and the estimation and simulation of the joint distribution of the binary attribute impaired pulmonary function as used by Qaqish, Zink, and Preisser (2012).

langue originaleAnglais
journalJournal of Statistical Software
Volume86
Les DOIs
Etat de la publicationPublié - 1 janv. 2018
Modification externeOui

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