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 (≥ 0.3.0.1), 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 googlemail.com> |
| BugReports: | https://github.com/matthiasspeidel/hmi/issues |
| License: | GPL-3 |
| URL: | https://github.com/matthiasspeidel/hmi |
| 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: hmi_1.0.0.zip, r-release: hmi_1.0.0.zip, r-oldrel: hmi_1.0.0.zip |
| macOS binaries: | r-release (arm64): hmi_1.0.0.tgz, r-oldrel (arm64): hmi_1.0.0.tgz, r-release (x86_64): hmi_1.0.0.tgz, r-oldrel (x86_64): hmi_1.0.0.tgz |
| Old sources: | hmi archive |
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