mdmb: Model Based Treatment of Missing Data
Version 0.6-17

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.

Package details

Author Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Date of publication2018-02-16 11:10:29 UTC
MaintainerAlexander Robitzsch <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mdmb documentation built on Feb. 16, 2018, 5:03 p.m.