Missing not at Random Imputation Models for Multiple Imputation by Chained Equation

[Up] [Top]

Documentation for package ‘miceMNAR’ version 1.0.2

Help Pages

miceMNAR-package Missing not at Random Imputation Models for Multiple Imputation by Chained Equation
generate_JointModelEq Generation of an empty matrix for sample selection model
mice.impute.hecknorm Imputation by Heckman's model for continuous outcome with Missing Not At Random mechanism using one-step estimator
mice.impute.hecknorm2step Imputation by Heckman's model for continuous Missing Not At Random ouctome using a two-step estimator
mice.impute.heckprob Imputation by bivariate probit sample selection model for binary Missing Not At Random outcome
miceMNAR Missing not at Random Imputation Models for Multiple Imputation by Chained Equation
MNARargument Function providing modified arguments for imputation of Missing Not At Random (MNAR) outcomes using 'mice()' function of the "mice" package