mice : Multivariate Imputation by Chained Equations in R
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Abstract
The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In mice, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation…
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Authors
2Topics & keywords
Topics
Keywords
- Pooling
- Imputation (statistics)
- Categorical variable
- Multivariate statistics
- Computer science
- R package
- Missing data
- Data mining
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