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mice (version 2.5)

Multivariate Imputation by Chained Equations

Description

Multiple Imputation using Fully Conditional Specification

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Version

Install

install.packages('mice')

Monthly Downloads

83,091

Version

2.5

License

GPL-2 | GPL-3

Maintainer

Stef van Buuren

Last Published

January 6th, 2011

Functions in mice (2.5)

mids

Multiply Imputed Data Set
md.pattern

Missing Data Pattern
mice.impute.norm

Imputation by Bayesian Linear Regression
mice.impute.lda

Imputation by Linear Discriminant Analysis
mice.impute.mean

Imputation by the Mean
nhanes2

NHANES example - mixed numerical and discrete variables
md.pairs

Missing data pattern by variable pairs
mice.internal

Internal mice functions
mice.impute.pmm

Imputation by Predictive Mean Matching
quickpred

Quick selection of predictors from the data
pool.r.squared

Pooling: R squared
mira

Multiply Imputed Repeated Analyses
cc

Extracts complete and incomplete cases
with.mids

Evaluate an expression in multiple imputed datasets
cci

Extracts (in)complete case indicator
mice

Multivariate Imputation by Chained Equations (MICE)
mipo

Multiply Imputed Pooled Analysis
complete

Creates a Complete Flat File from a Multiply Imputed Data Set
mice.impute.logreg

Imputation by Logistic Regression
mice.impute.passive

Passive Imputation
lm.mids

Linear Regression on Multiply Imputed Data
glm.mids

Generalized Linear Model for Multiply Imputed Data
mice.impute.polyreg

Imputation by Polytomous Regression
mids2spss

Export Multiply Imputed Data to SPSS
ccn

Number of (in)complete cases
version

Echoes the package version number
mice.impute.sample

Imputation by Simple Random Sampling
pool

Multiple Imputation Pooling
mice.mids

Multivariate Imputation by Chained Equations (Iteration Step)
nhanes

NHANES example - all variables numerical