jomo: Multilevel Joint Modelling Multiple Imputation

Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation. 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: 2.4-1
Imports: stats, lme4
Suggests: BaBooN, mitml
Published: 2017-06-06
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno at lshtm.ac.uk>
License: GPL-2
NeedsCompilation: yes
Citation: jomo citation info
CRAN checks: jomo results

Downloads:

Reference manual: jomo.pdf
Package source: jomo_2.4-1.tar.gz
Windows binaries: r-devel: jomo_2.4-1.zip, r-release: jomo_2.4-1.zip, r-oldrel: jomo_2.4-1.zip
OS X El Capitan binaries: r-release: jomo_2.4-1.tgz
OS X Mavericks binaries: r-oldrel: jomo_2.4-1.tgz
Old sources: jomo archive

Reverse dependencies:

Reverse imports: micemd, mitml
Reverse suggests: miceadds

Linking:

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