⚠️There's a newer version (3.16.0) of this package. Take me there.

mice (version 3.13.0)

Multivariate Imputation by Chained Equations

Description

Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) . Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.

Copy Link

Version

Down Chevron

Install

install.packages('mice')

Monthly Downloads

78,048

Version

3.13.0

License

GPL-2 | GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

January 27th, 2021

Functions in mice (3.13.0)