mdmb: Model Based Treatment of Missing Data
Version 0.7-19

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., including interaction or quadratic effects). Multiple imputation can be also conducted.

Package details

Author Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Date of publication2018-04-24 17:20:07 UTC
MaintainerAlexander Robitzsch <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mdmb documentation built on April 25, 2018, 1:04 a.m.