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: | 2.7-3 |
| Imports: | stats, lme4, survival, MASS, ordinal, tibble |
| Suggests: | mitml |
| Published: | 2022-02-08 |
| 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 |
| Reference manual: | jomo.pdf |
| Package source: | jomo_2.7-3.tar.gz |
| Windows binaries: | r-devel: jomo_2.7-3.zip, r-release: jomo_2.7-3.zip, r-oldrel: jomo_2.7-3.zip |
| macOS binaries: | r-release (arm64): jomo_2.7-3.tgz, r-oldrel (arm64): jomo_2.7-3.tgz, r-release (x86_64): jomo_2.7-3.tgz, r-oldrel (x86_64): jomo_2.7-3.tgz |
| Old sources: | jomo archive |
| Reverse imports: | micemd, mitml |
| Reverse suggests: | howManyImputations |
| Reverse enhances: | mdmb, miceadds |
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