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.
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 <firstname.lastname@example.org>
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