Multiple Imputation by Chained Equations with Multilevel Data


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Documentation for package ‘micemd’ version 1.8.0

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micemd-package Multiple Imputation by Chained Equations with Multilevel Data
CHEM97Na An incomplete two-level dataset which consists of A/AS-level examination data from England
find.defaultMethod Suggestion of conditional imputation models to use accordingly to the incomplete dataset
IPDNa A simulated Individual Patient Data (IPD) meta-analysis with missing values.
mice.impute.2l.2stage.bin Imputation by a two-level logistic model based on a two-stage estimator
mice.impute.2l.2stage.norm Imputation by a two-level heteroscedastic normal model based on a two-stage estimator
mice.impute.2l.2stage.pmm Predictive mean matching imputation for two-level variable
mice.impute.2l.2stage.pois Imputation by a two-level Poisson model based on a two-stage estimator
mice.impute.2l.glm.bin Imputation of univariate missing data using a Bayesian logistic mixed model based on non-informative prior distributions
mice.impute.2l.glm.norm Imputation of univariate missing data using a Bayesian linear mixed model based on non-informative prior distributions
mice.impute.2l.glm.pois Imputation of count variable using a Bayesian mixed model based on non-informative prior distributions
mice.impute.2l.jomo Imputation of univariate missing data by a Bayesian multivariate generalized model based on conjugate priors
mice.par Parallel calculations for Multivariate Imputation by Chained Equations
micemd Multiple Imputation by Chained Equations with Multilevel Data
overimpute Overimputation diagnostic plot
plot.mira Graphical investigation for the number of generated datasets