jomo (2.7-1)

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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.

Maintainer: Matteo Quartagno
Author(s): Matteo Quartagno, James Carpenter

License: GPL-2

Uses: lme4, MASS, ordinal, survival, mitml
Reverse suggests: miceadds
Reverse enhances: mdmb, miceadds

Released 6 days ago.

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Related packages: Amelia, CVThresh, HardyWeinberg, Hmisc, ade4, cat, eigenmodel, experiment, ltm, memisc, mice, mitools, mix, norm, pan, randomForest, sbgcop, yaImpute, zoo, SNPassoc(20 best matches, based on common tags.)

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