Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation (Ibrahim et al., 2005; <doi:10.1198/016214504000001844>). T The regression model can be nonlinear (e.g., interaction quadratic effects or spline functions). Multilevel models with missing data in predictors is also available for Bayesian estimation. Substantive-model compatible multiple imputation can be also conducted.
| Version: | 0.8-47 |
| Depends: | R (≥ 3.1) |
| Imports: | CDM, coda, graphics, MASS, miceadds (≥ 2.13-60), Rcpp, sirt, stats, TAM, utils |
| LinkingTo: | miceadds, Rcpp, RcppArmadillo |
| Suggests: | mice |
| Published: | 2018-07-09 |
| Author: | Alexander Robitzsch [aut, cre], Oliver Luedtke [aut] |
| Maintainer: | Alexander Robitzsch <robitzsch at ipn.uni-kiel.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/alexanderrobitzsch/mdmb, https://sites.google.com/site/alexanderrobitzsch2/software |
| NeedsCompilation: | yes |
| Citation: | mdmb citation info |
| Materials: | README NEWS |
| CRAN checks: | mdmb results |
| Reference manual: | mdmb.pdf |
| Package source: | mdmb_0.8-47.tar.gz |
| Windows binaries: | r-devel: mdmb_0.8-47.zip, r-release: mdmb_0.8-47.zip, r-oldrel: mdmb_0.8-47.zip |
| OS X binaries: | r-release: mdmb_0.8-47.tgz, r-oldrel: mdmb_0.8-47.tgz |
| Old sources: | mdmb archive |
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