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mice (version 2.9)
Multivariate Imputation by Chained Equations
Description
Multiple Imputation using Fully Conditional Specification
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Install
install.packages('mice')
Monthly Downloads
65,189
Version
2.9
License
GPL-2 | GPL-3
Maintainer
Stef van Buuren
Last Published
September 1st, 2011
Functions in mice (2.9)
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mice.impute.lda
Imputation by Linear Discriminant Analysis
complete
Creates a Complete Flat File from a Multiply Imputed Data Set
mice.internal
Internal mice functions
mice.impute.mean
Imputation by the Mean
nhanes2
NHANES example - mixed numerical and discrete variables
mids
Multiply Imputed Data Set
mice.impute.norm.predict
Imputation by Linear Regression, Prediction Method
md.pattern
Missing Data Pattern
mice.impute.polyreg
Imputation by Polytomous Regression
mice.impute.logreg
Multiple Imputation by Logistic Regression
with.mids
Evaluate an expression in multiple imputed datasets
pool.r.squared
Pooling: R squared
mice.impute.passive
Passive Imputation
mdc
Graphical parameter for missing data plots.
version
Echoes the package version number
mice.impute.pmm
Imputation by Predictive Mean Matching
mice.mids
Multivariate Imputation by Chained Equations (Iteration Step)
cci
Extracts (in)complete case indicator
mice.impute.norm.boot
Imputation by Linear Regression, Bootstrap Method
md.pairs
Missing data pattern by variable pairs
quickpred
Quick selection of predictors from the data
pool
Multiple Imputation Pooling
lm.mids
Linear Regression on Multiply Imputed Data
mice.impute.norm
Imputation by Bayesian Linear Regression
glm.mids
Generalized Linear Model for Multiply Imputed Data
mids2spss
Export Multiply Imputed Data to SPSS
mipo
Multiply Imputed Pooled Analysis
stripplot
Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
ccn
Number of (in)complete cases
cc
Extracts complete and incomplete cases
mice
Multivariate Imputation by Chained Equations (MICE)
nhanes
NHANES example - all variables numerical
mira
Multiply Imputed Repeated Analyses
mice.impute.sample
Imputation by Simple Random Sampling