mdmb

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:10.1080/00273171.2019.1640104doi: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.

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