jomo: 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) <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: 2.6-7
Imports: stats, lme4, survival, MASS, ordinal
Suggests: mitml
Published: 2019-02-06
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <m.quartagno at>
License: GPL-2
NeedsCompilation: yes
Citation: jomo citation info
In views: MissingData
CRAN checks: jomo results


Reference manual: jomo.pdf
Package source: jomo_2.6-7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: jomo_2.6-7.tgz, r-oldrel: jomo_2.6-7.tgz
Old sources: jomo archive

Reverse dependencies:

Reverse imports: micemd, mitml
Reverse enhances: mdmb, miceadds


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