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micemd (version 1.10.0)

Multiple Imputation by Chained Equations with Multilevel Data

Description

Addons for the 'mice' package to perform multiple imputation using chained equations with two-level data. Includes imputation methods dedicated to sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2018) , the choice of the imputation method for each variable can be facilitated by a default choice tuned according to the structure of the incomplete dataset. Allows parallel calculation and overimputation for 'mice'.

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Version

Install

install.packages('micemd')

Monthly Downloads

512

Version

1.10.0

License

GPL-2 | GPL-3

Maintainer

Vincent Audigier

Last Published

November 17th, 2023

Functions in micemd (1.10.0)

mice.impute.2l.glm.norm

Imputation of univariate missing data using a Bayesian linear mixed model based on non-informative prior distributions

Graphical investigation for the number of generated datasets

find.defaultMethod

Suggestion of conditional imputation models to use accordingly to the incomplete dataset

mice.impute.2l.glm.pois

Imputation of count variable using a Bayesian mixed model based on non-informative prior distributions

Parallel calculations for Multivariate Imputation by Chained Equations

mice.impute.2l.jomo

Imputation of univariate missing data by a Bayesian multivariate generalized model based on conjugate priors

Multiple Imputation by Chained Equations with Multilevel Data

Overimputation diagnostic plot

An incomplete two-level dataset which consists of A/AS-level examination data from England

mice.impute.2l.2stage.pois

Imputation by a two-level Poisson 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.glm.bin

Imputation of univariate missing data using a Bayesian logistic mixed model based on non-informative prior distributions

mice.impute.2l.2stage.pmm

Predictive mean matching imputation for two-level variable

mice.impute.2l.2stage.heckman

Imputation based on Heckman model for multilevel data.

mice.impute.2l.2stage.bin

Imputation by a two-level logistic model based on a two-stage estimator

A simulated Individual Patient Data (IPD) meta-analysis with missing values.

A two-level incomplete dataset based on an online obesity survey