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mice (version 2.7)
Multivariate Imputation by Chained Equations
Description
Multiple Imputation using Fully Conditional Specification
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Install
install.packages('mice')
Monthly Downloads
83,839
Version
2.7
License
GPL-2 | GPL-3
Maintainer
Stef van Buuren
Last Published
March 16th, 2011
Functions in mice (2.7)
Search functions
glm.mids
Generalized Linear Model for Multiply Imputed Data
version
Echoes the package version number
mice.impute.norm
Imputation by Bayesian Linear Regression
lm.mids
Linear Regression on Multiply Imputed Data
mice.internal
Internal mice functions
mice.impute.sample
Imputation by Simple Random Sampling
quickpred
Quick selection of predictors from the data
md.pattern
Missing Data Pattern
mice.impute.pmm
Imputation by Predictive Mean Matching
mipo
Multiply Imputed Pooled Analysis
mdc
Graphical parameter for missing data plots.
mice.impute.lda
Imputation by Linear Discriminant Analysis
mice.impute.mean
Imputation by the Mean
complete
Creates a Complete Flat File from a Multiply Imputed Data Set
ccn
Number of (in)complete cases
pool
Multiple Imputation Pooling
mira
Multiply Imputed Repeated Analyses
mids
Multiply Imputed Data Set
mice.impute.polyreg
Imputation by Polytomous Regression
with.mids
Evaluate an expression in multiple imputed datasets
nhanes2
NHANES example - mixed numerical and discrete variables
mice
Multivariate Imputation by Chained Equations (MICE)
nhanes
NHANES example - all variables numerical
pool.r.squared
Pooling: R squared
mice.impute.logreg
Imputation by Logistic Regression
cci
Extracts (in)complete case indicator
mice.mids
Multivariate Imputation by Chained Equations (Iteration Step)
stripplot
Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
cc
Extracts complete and incomplete cases
md.pairs
Missing data pattern by variable pairs
mids2spss
Export Multiply Imputed Data to SPSS
mice.impute.passive
Passive Imputation