Learn R Programming
⚠️There's a newer version (3.17.0) of this package.Take me there.

mice (version 2.4)

Multivariate Imputation by Chained Equations

Description

Multiple Imputation using Fully Conditional Specification

Copy Link

Version

Install

install.packages('mice')

Monthly Downloads

83,091

Version

2.4

License

GPL-2 | GPL-3

Maintainer

Stef van Buuren

Last Published

October 18th, 2010

Functions in mice (2.4)

md.pattern

Missing Data Pattern
cci

Extracts (in)complete case indicator
with.mids

Evaluate an expression in multiple imputed datasets
complete

Creates a Complete Flat File from a Multiply Imputed Data Set
glm.mids

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

Imputation by Polytomous Regression
mice.impute.passive

Passive Imputation
pool

Multiple Imputation Pooling
cc

Extracts complete and incomplete cases
mice.impute.sample

Imputation by Simple Random Sampling
mice.impute.norm

Imputation by Bayesian Linear Regression
mice

Multivariate Imputation by Chained Equations (MICE)
nhanes2

NHANES example - mixed numerical and discrete variables
nhanes

NHANES example - all variables numerical
mice.internal

Internal mice functions
ccn

Number of (in)complete cases
mids

Multiply Imputed Data Set
mice.impute.pmm

Imputation by Predictive Mean Matching
mira

Multiply Imputed Repeated Analyses
md.pairs

Missing data pattern by variable pairs
mice.mids

Multivariate Imputation by Chained Equations (Iteration Step)
lm.mids

Linear Regression on Multiply Imputed Data
version

Echoes the package version number
pool.r.squared

Pooling: R squared
mice.impute.mean

Imputation by the Mean
mice.impute.logreg

Imputation by Logistic Regression
mipo

Multiply Imputed Pooled Analysis
quickpred

Quick selection of predictors from the data
mice.impute.lda

Imputation by Linear Discriminant Analysis