mdmb: Model Based Treatment of Missing Data
Version 0.10-13

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; ). 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.

Package details

Author Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Date of publication2018-09-12 12:40:03 UTC
MaintainerAlexander Robitzsch <[email protected]>
LicenseGPL (>= 2)
Version0.10-13
URL https://github.com/alexanderrobitzsch/mdmb https://sites.google.com/site/alexanderrobitzsch2/software
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mdmb")

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mdmb documentation built on Sept. 21, 2018, 6:25 p.m.