mdmb: Model Based Treatment of Missing Data

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. The regression model can be nonlinear (e.g., including interaction or quadratic effects). Multiple imputation can be also conducted.

Version: 0.6-17
Depends: R (≥ 3.1)
Imports: CDM, coda, graphics, MASS, miceadds, sirt, stats, TAM, utils
Suggests: mice
Published: 2018-02-16
Author: Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: mdmb citation info
Materials: README NEWS
CRAN checks: mdmb results


Reference manual: mdmb.pdf
Package source: mdmb_0.6-17.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: mdmb_0.6-17.tgz
OS X Mavericks binaries: r-oldrel: mdmb_0.4-15.tgz
Old sources: mdmb archive


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