A package for Multilevel Joint Modelling Multiple Imputation

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Description

Similarly to Schafer's package pan, jomo is a package for multilevel joint modelling multiple imputation. Novel aspects of jomo are the possibility of handling binary and categorical data through latent normal variables and the option to use cluster-specific covariance matrices.

Details

Package: jomo
Type: Package
Version: 1.3-0
Date: 2015-12-14
License: GPL-2

Author(s)

Matteo Quartagno, London School of Hygiene and Tropical Medicine Professor James Carpenter, London School of Hygiene and Tropical Medicine, MRC Clinical Trials Unit at UCL

Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

References

Carpenter J.R., Kenward M.G., (2013), Multiple Imputation and its Application. Chapters 3-5-9, Wiley, ISBN: 978-0-470-74052-1.

Yucel R.M., (2011), Random-covariances and mixed-effects models for imputing multivariate multilevel continuous data, Statistical Modelling, 11 (4), 351-370, DOI: 10.1177/1471082X100110040.

C libraries: pdflib, rnglib and wishart, John Burkardt, Dept. of Scientific Comupting, The Florida State University

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