Multilevel Joint Modelling Multiple Imputation

Similarly to 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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install.packages("jomo")

2.7-6 by Matteo Quartagno, 4 years ago


Browse source code at https://github.com/cran/jomo


Authors: Matteo Quartagno , James Carpenter


Documentation:   PDF Manual  


GPL-2 license


Imports stats, lme4, survival, MASS, ordinal, tibble

Suggests mitml


Imported by GPAbin, micemd, mitml.

Suggested by howManyImputations, pigauto.

Enhanced by mdmb, miceadds.


See at CRAN