Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi: 10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
|Author||Matteo Quartagno, James Carpenter|
|Maintainer||Matteo Quartagno <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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