mdmb (1.2-4)

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; ). 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.

Maintainer: Alexander Robitzsch
Author(s): Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]

License: GPL (>= 2)

Uses: CDM, coda, MASS, miceadds, Rcpp, sirt, mice

Released 12 days ago.