Multivariate Imputation by Chained Equations


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Documentation for package ‘mice’ version 2.14

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A B C D F G H I K L M N P Q R S T V W X Y misc

-- A --

as.mira Multiply Imputed Repeated Analyses

-- B --

boys Growth of Dutch boys
bwplot Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
bwplot.mids Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data

-- C --

cbind.mids Combine a Multiply Imputed Data Set with other mids object or dataframe
cc Extracts complete and incomplete cases
cc-method Extracts complete and incomplete cases
cci Extracts (in)complete case indicator
cci-method Extracts (in)complete case indicator
ccn Number of (in)complete cases
ccn-method Number of (in)complete cases
complete Creates a Complete Flat File from a Multiply Imputed Data Set

-- D --

densityplot Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
densityplot.mids Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data

-- F --

fdd SE Fireworks Disaster Data
fdd.pred SE Fireworks Disaster Data
fdgs Fifth Dutch Growth Study 2009
fico Influx and outflux of multivatiate missing data patterns
fireworks SE Fireworks Disaster Data
flux Influx and outflux of multivatiate missing data patterns
fluxplot Influx and outflux of multivatiate missing data patterns

-- G --

getfit Extracts fit objects from mira object
glm.mids Generalized Linear Model for Multiply Imputed Data
growth Fifth Dutch Growth Study 2009

-- H --

hazard Cumulative hazard rate or Nelson-Aalen estimator

-- I --

ibind Combine imputations fitted to the same data
ic Extracts complete and incomplete cases
ic-method Extracts complete and incomplete cases
ici Extracts (in)complete case indicator
ici-method Extracts (in)complete case indicator
icn Number of (in)complete cases
icn-method Number of (in)complete cases
is.mids Multiply Imputed Data Set
is.mipo Multiply Imputed Pooled Analysis
is.mira Multiply Imputed Repeated Analyses

-- K --

krul Self-reported and measured BMI

-- L --

leiden85 Leiden 85+ Study
lm.mids Linear Regression on Multiply Imputed Data
logreg Multiple Imputation by Logistic Regression
logreg.boot Multiple Imputation by Logistic Regression

-- M --

mammalsleep Mammal sleep data
md.pairs Missing data pattern by variable pairs
md.pattern Missing Data Pattern
mdc Graphical parameter for missing data plots.
mgg Self-reported and measured BMI
mice Multivariate Imputation by Chained Equations (MICE)
mice.impute.2L.norm Imputation by a Two-Level Normal Model
mice.impute.2l.norm Imputation by a Two-Level Normal Model
mice.impute.2L.pan Imputation by a Two-Level Normal Model using pan
mice.impute.2l.pan Imputation by a Two-Level Normal Model using pan
mice.impute.2lonly.mean Imputation of the mean within the class
mice.impute.2lonly.norm Imputation at Level 2 by Bayesian Linear Regression
mice.impute.2lonly.pmm Imputation at Level 2 by Predictive Mean Matching
mice.impute.lda Imputation by Linear Discriminant Analysis
mice.impute.logreg Multiple Imputation by Logistic Regression
mice.impute.logreg.boot Multiple Imputation by Logistic Regression
mice.impute.mean Imputation by the Mean
mice.impute.norm Imputation by Bayesian Linear Regression
mice.impute.norm.boot Imputation by Linear Regression, Bootstrap Method
mice.impute.norm.nob Imputation by Linear Regression (non Bayesian)
mice.impute.norm.predict Imputation by Linear Regression, Prediction Method
mice.impute.passive Passive Imputation
mice.impute.pmm Imputation by Predictive Mean Matching
mice.impute.pmm2 Imputation by Predictive Mean Matching
mice.impute.polr Imputation by Polytomous Regression
mice.impute.polyreg Imputation by Polytomous Regression
mice.impute.quadratic Imputation of quadratric terms
mice.impute.sample Imputation by Simple Random Sampling
mice.mids Multivariate Imputation by Chained Equations (Iteration Step)
mice.theme Graphical parameter for missing data plots.
mids Multiply Imputed Data Set
mids-class Multiply Imputed Data Set
mids2mplus Export Multiply Imputed Data to Mplus
mids2spss Export Multiply Imputed Data to SPSS
mipo Multiply Imputed Pooled Analysis
mipo-class Multiply Imputed Pooled Analysis
mira Multiply Imputed Repeated Analyses
mira-class Multiply Imputed Repeated Analyses

-- N --

nelsonaalen Cumulative hazard rate or Nelson-Aalen estimator
nhanes NHANES example - all variables numerical
nhanes2 NHANES example - mixed numerical and discrete variables
norm Imputation by Bayesian Linear Regression
norm.boot Imputation by Linear Regression, Bootstrap Method
norm.nob Imputation by Linear Regression (non Bayesian)
norm.predict Imputation by Linear Regression, Prediction Method

-- P --

pattern1 Datasets with various missing data patterns
pattern2 Datasets with various missing data patterns
pattern3 Datasets with various missing data patterns
pattern4 Datasets with various missing data patterns
plot Multiply Imputed Data Set
plot-method Multiply Imputed Data Set
plot.mids Multiply Imputed Data Set
pmm Imputation by Predictive Mean Matching
pmm2 Imputation by Predictive Mean Matching
pool Multiple Imputation Pooling
pool.compare Compare two nested models fitted to imputed data
pool.r.squared Pooling: R squared
pool.scalar Multiple Imputation Pooling: Univariate version
popmis Hox pupil popularity data with missing popularity scores
pops Project On Preterm and Small for Gestational Age Infants (POPS)
pops.pred Project On Preterm and Small for Gestational Age Infants (POPS)
potthoffroy Potthoff-Roy data
print-method Multiply Imputed Data Set
print-method Multiply Imputed Pooled Analysis
print-method Multiply Imputed Repeated Analyses

-- Q --

quadratic Imputation of quadratric terms
quickpred Quick selection of predictors from the data

-- R --

rbind.mids Combine a Multiply Imputed Data Set with other mids object or dataframe

-- S --

selfreport Self-reported and measured BMI
sleep Mammal sleep data
stripplot Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
stripplot.mids Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
summary-method Multiply Imputed Data Set
summary-method Multiply Imputed Pooled Analysis
summary-method Multiply Imputed Repeated Analyses
supports.transparent Does the current graphic device support semi-transparent foreground colors?

-- T --

tbc Terneuzen Birth Cohort
tbc.target Terneuzen Birth Cohort
terneuzen Terneuzen Birth Cohort
transparent Does the current graphic device support semi-transparent foreground colors?

-- V --

version Echoes the package version number

-- W --

walking Walking disability data
windspeed Subset of Irish wind speed data
with.mids Evaluate an expression in multiple imputed datasets

-- X --

xyplot Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data
xyplot.mids Box-and-whisker plot, stripplot, density plot and scatterplot for imputed data

-- Y --

YA Walking disability data
YB Walking disability data

-- misc --

2L.norm Imputation by a Two-Level Normal Model
2L.pan Imputation by a Two-Level Normal Model using pan
2l.pan Imputation by a Two-Level Normal Model using pan
2lonly.mean Imputation of the mean within the class
2lonly.norm Imputation at Level 2 by Bayesian Linear Regression
2lonly.pmm Imputation at Level 2 by Predictive Mean Matching