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mitml: Tools for Multiple Imputation in Multilevel Modeling

Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo', and several functions for visualization, data management and the analysis of multiply imputed data sets.

Version: 0.4-5
Imports: pan, jomo, haven, grDevices, graphics, stats, methods, utils
Suggests: mice, miceadds, Amelia, lme4, nlme, lavaan, geepack, glmmTMB, survival, knitr, rmarkdown
Published: 2023-03-08
Author: Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]
Maintainer: Simon Grund <simon.grund at uni-hamburg.de>
BugReports: https://github.com/simongrund1/mitml/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: mitml results

Documentation:

Reference manual: mitml.pdf
Vignettes: Analysis of Multiply Imputed Data Sets
Introduction
Imputation of Missing Data at Level 2

Downloads:

Package source: mitml_0.4-5.tar.gz
Windows binaries: r-devel: mitml_0.4-5.zip, r-release: mitml_0.4-5.zip, r-oldrel: mitml_0.4-5.zip
macOS binaries: r-release (arm64): mitml_0.4-5.tgz, r-oldrel (arm64): mitml_0.4-5.tgz, r-release (x86_64): mitml_0.4-5.tgz, r-oldrel (x86_64): mitml_0.4-5.tgz
Old sources: mitml archive

Reverse dependencies:

Reverse imports: mice, miceafter, psfmi
Reverse suggests: jomo, LSAmitR
Reverse enhances: miceadds

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mitml to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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