The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 (Ibrahim et al., 2005; <doi:10.1198/016214504000001844>; Luedtke, Robitzsch, & West, 2020a, 2020b; <doi:10.1080/00273171.2019.1640104><doi:10.1037/met0000233>). The regression model can be nonlinear (e.g., interaction effects, quadratic effects or B-spline functions). Multilevel models with missing data in predictors are available for Bayesian estimation. Substantive-model compatible multiple imputation can be also conducted.

Version: 1.9-22
Depends: R (≥ 3.1)
Imports: CDM, coda, graphics, miceadds (≥ 3.2-23), Rcpp, sirt, stats, utils
LinkingTo: miceadds, Rcpp, RcppArmadillo
Suggests: MASS
Enhances: JointAI, jomo, mice, smcfcs
Published: 2024-07-15
DOI: 10.32614/CRAN.package.mdmb
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
In views: MissingData, MixedModels
CRAN checks: mdmb results

Documentation:

Reference manual: mdmb.pdf

Downloads:

Package source: mdmb_1.9-22.tar.gz
Windows binaries: r-devel: mdmb_1.9-22.zip, r-release: mdmb_1.9-22.zip, r-oldrel: mdmb_1.9-22.zip
macOS binaries: r-release (arm64): mdmb_1.9-22.tgz, r-oldrel (arm64): mdmb_1.9-22.tgz, r-release (x86_64): mdmb_1.9-22.tgz, r-oldrel (x86_64): mdmb_1.9-22.tgz
Old sources: mdmb archive

Reverse dependencies:

Reverse suggests: miceadds

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mdmb 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.