Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (3.19.0) of this package.
Take me there.
mice (version 2.11)
Multivariate Imputation by Chained Equations
Description
Multiple Imputation using Fully Conditional Specification
Copy Link
Link to current version
Version
Version
3.19.0
3.18.0
3.17.0
3.16.0
3.15.0
3.14.0
3.13.0
3.12.0
3.11.0
3.10.0.1
3.10.0
3.9.0
3.8.0
3.7.0
3.6.0
3.5.0
3.4.0
3.3.0
3.2.0
3.1.0
3.0.0
2.46.0
2.30
2.25
2.22
2.21
2.20
2.18
2.17
2.16
2.15
2.14
2.13
2.12
2.11
2.10
2.9
2.8
2.7
2.6
2.5
2.4
2.3
2.2
2.1
2.0
1.21
1.16
1.15
1.14
Install
install.packages('mice')
Monthly Downloads
96,163
Version
2.11
License
GPL-2 | GPL-3
Maintainer
Stef van Buuren
Last Published
November 22nd, 2011
Functions in mice (2.11)
Search all functions
mice.impute.mean
Imputation by the Mean
mira
Multiply Imputed Repeated Analyses
mids2mplus
Export Multiply Imputed Data to Mplus
mice.internal
Internal mice functions
nhanes2
NHANES example - mixed numerical and discrete variables
stripplot
Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
mice
Multivariate Imputation by Chained Equations (MICE)
cc
Extracts complete and incomplete cases
mice.impute.logreg
Multiple Imputation by Logistic Regression
cci
Extracts (in)complete case indicator
complete
Creates a Complete Flat File from a Multiply Imputed Data Set
pool.r.squared
Pooling: R squared
nhanes
NHANES example - all variables numerical
mids
Multiply Imputed Data Set
with.mids
Evaluate an expression in multiple imputed datasets
mice.impute.lda
Imputation by Linear Discriminant Analysis
mice.impute.pmm
Imputation by Predictive Mean Matching
mice.impute.passive
Passive Imputation
ccn
Number of (in)complete cases
mipo
Multiply Imputed Pooled Analysis
glm.mids
Generalized Linear Model for Multiply Imputed Data
mice.impute.norm.predict
Imputation by Linear Regression, Prediction Method
md.pattern
Missing Data Pattern
lm.mids
Linear Regression on Multiply Imputed Data
mdc
Graphical parameter for missing data plots.
mids2spss
Export Multiply Imputed Data to SPSS
md.pairs
Missing data pattern by variable pairs
mice.mids
Multivariate Imputation by Chained Equations (Iteration Step)
mice.impute.norm.boot
Imputation by Linear Regression, Bootstrap Method
mice.impute.sample
Imputation by Simple Random Sampling
pool
Multiple Imputation Pooling
version
Echoes the package version number
quickpred
Quick selection of predictors from the data
mice.impute.norm
Imputation by Bayesian Linear Regression
mice.impute.polyreg
Imputation by Polytomous Regression