Multilevel Joint Modelling Multiple Imputation

Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) . 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.


Reference manual

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2.7-2 by Matteo Quartagno, a year ago

Browse source code at

Authors: Matteo Quartagno , James Carpenter

Documentation:   PDF Manual  

Task views: Missing Data

GPL-2 license

Imports stats, lme4, survival, MASS, ordinal

Suggests mitml

Imported by micemd, mitml.

Enhanced by mdmb, miceadds.

See at CRAN