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.">

jomo: Multilevel Joint Modelling Multiple Imputation (original) (raw)

Similarly to 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.

Version: 2.7-6
Imports: stats, lme4, survival, MASS, ordinal, tibble
Suggests: mitml
Published: 2023-04-15
DOI: 10.32614/CRAN.package.jomo
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <m.quartagno at ucl.ac.uk>
License: GPL-2
NeedsCompilation: yes
Citation: jomo citation info
In views: MissingData
CRAN checks: jomo results

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