hmi: Hierarchical Multiple Imputation

Runs single level and multilevel imputation models as described in Speidel, Drechsler and Jolani (2020) <doi:10.18637/jss.v095.i09>. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: boot (≥ 1.3-20), broom.mixed (≥ 0.2.6), coda (≥ 0.19-1), graphics (≥ 3.0.0), linLIR (≥ 1.1), lme4 (≥ 1.1-15), MASS (≥ 7.3-49), Matrix (≥ 1.2-12), MCMCglmm (≥ 2.25), mice (≥ 3.5.0), msm (≥ 1.6.6), mvtnorm (≥ 1.0-7), nlme (≥ 3.1-131.1), nnet (≥ 7.3-12), ordinal (≥ 2015.6-28), pbivnorm (≥ 0.6.0), rlang (≥, stats (≥ 3.0.0), tmvtnorm (≥ 1.4-10), utils
Suggests: knitr, rmarkdown, testthat
Published: 2020-10-01
Author: Matthias Speidel [aut, cre] (Munich, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Maintainer: Matthias Speidel <matthias.speidel at>
License: GPL-3
NeedsCompilation: no
Citation: hmi citation info
Materials: README
In views: MissingData
CRAN checks: hmi results


Reference manual: hmi.pdf
Vignettes: hmi: hierarchical multiple imputation
Package source: hmi_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: hmi_1.0.0.tgz, r-oldrel: hmi_1.0.0.tgz
Old sources: hmi archive


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