Multivariate Imputation by Chained Equations

Documentation for package ‘mice’ version 2.22

Help Pages

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

-- A --

appendbreak	Appends specified break to the data
as.mids	Converts an multiply imputed dataset (long format) into a 'mids' object
as.mira	Create a 'mira' object from repeated analyses

-- B --

boys	Growth of Dutch boys
bwplot	Box-and-whisker plot of observed and imputed data
bwplot.mids	Box-and-whisker plot of observed and imputed data

-- C --

cart	Imputation by classification and regression trees
cbind.mids	Columnwise combination of a 'mids' object.
cc	Complete cases
cc-method	Complete cases
cci	Complete case indicator
cci-method	Complete case indicator
ccn	Complete cases n
ccn-method	Complete cases n
complete	Creates imputed data sets from a 'mids' object

-- D --

densityplot	Density plot of observed and imputed data
densityplot.mids	Density plot of observed and imputed data

-- E --

extractBS

Extract broken stick estimates from a 'lmer' object

-- F --

fastpmm	Imputation by fast predictive mean matching
fdd	SE Fireworks disaster data
fdd.pred	SE Fireworks disaster data
fdgs	Fifth Dutch growth study 2009
fico	Fraction of incomplete cases among cases with observed
flux	Influx and outflux of multivariate missing data patterns
fluxplot	Fluxplot of the missing data pattern

-- G --

getfit	Extracts fit objects from 'mira' object
glm.mids	Generalized linear model for 'mids' object

-- H --

hazard

Cumulative hazard rate or Nelson-Aalen estimator

-- I --

ibind	Combine imputations fitted to the same data
ic	Incomplete cases
ic-method	Incomplete cases
ici	Incomplete case indicator
ici-method	Incomplete case indicator
icn	Incomplete cases n
icn-method	Incomplete cases n
is.mids	Check for 'mids' object
is.mipo	Check for 'mipo' object
is.mira	Check for 'mira' object

-- L --

leiden85	Leiden 85+ study
lm.mids	Linear regression for 'mids' object

-- 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.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.cart	Imputation by classification and regression trees
mice.impute.fastpmm	Imputation by fast predictive mean matching
mice.impute.lda	Imputation by linear discriminant analysis
mice.impute.logreg	Imputation by logistic regression
mice.impute.logreg.boot	Imputation by logistic regression using the bootstrap
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.polr	Imputation by polytomous regression - ordered
mice.impute.polyreg	Imputation by polytomous regression - unordered
mice.impute.quadratic	Imputation of quadratric terms
mice.impute.rf	Imputation by random forests
mice.impute.ri	Imputation by the random indicator method for nonignorable data
mice.impute.sample	Imputation by simple random sampling
mice.mids	Multivariate Imputation by Chained Equations (Iteration Step)
mice.theme	Set the theme for the plotting Trellis functions
mids	Multiply imputed data set ('mids')
mids-class	Multiply imputed data set ('mids')
mids2mplus	Export 'mids' object to Mplus
mids2spss	Export 'mids' object to SPSS
mipo	Multiply imputed pooled analysis ('mipo')
mipo-class	Multiply imputed pooled analysis ('mipo')
mira	Multiply imputed repeated analyses ('mira')
mira-class	Multiply imputed repeated analyses ('mira')

-- 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.draw	Draws values of beta and sigma by Bayesian linear regression
norm.nob	Imputation by linear regression (non Bayesian)
norm.predict	Imputation by linear regression, prediction method

-- P --

pattern	Datasets with various missing data patterns
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.mids	Plot the trace lines of the MICE algorithm
pmm	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.mids	Print a 'mids' object
print.mipo	Print a 'mids' object
print.mira	Print a 'mids' object

-- Q --

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

-- R --

rbind.mids	Rowwise combination of a 'mids' object.
ri	Imputation by the random indicator method for nonignorable data

-- S --

selfreport	Self-reported and measured BMI
sleep	Mammal sleep data
squeeze	Squeeze the imputed values to be within specified boundaries.
stripplot	Stripplot of observed and imputed data
stripplot.mids	Stripplot of observed and imputed data
summary.mids	Summary of a 'mira' object
summary.mipo	Summary of a 'mira' object
summary.mira	Summary of a 'mira' object
supports.transparent	Supports semi-transparent foreground colors?

-- T --

tbc	Terneuzen birth cohort
tbc.target	Terneuzen birth cohort
terneuzen	Terneuzen birth cohort
transparent	Supports 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	Scatterplot of observed and imputed data
xyplot.mids	Scatterplot of observed and imputed data

-- misc --

.norm.draw	Draws values of beta and sigma by Bayesian linear regression
2l.norm	Imputation by a two-level normal model
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