Multivariate Imputation by Chained Equations

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Documentation for package ‘mice’ version 2.8

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as.mira Multiply Imputed Repeated Analyses
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
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
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
glm.mids Generalized Linear Model for Multiply Imputed Data
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
lm.mids Linear Regression on Multiply Imputed Data
md.pairs Missing data pattern by variable pairs
md.pattern Missing Data Pattern
mdc Graphical parameter for missing data plots.
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.norm.noint Imputation by a Two-Level Normal Model
mice.impute.lda Imputation by Linear Discriminant Analysis
mice.impute.logreg Imputation by Logistic Regression
mice.impute.mean Imputation by the Mean
mice.impute.norm Imputation by Bayesian Linear Regression
mice.impute.norm.nob Imputation by Linear Regression (non Bayesian)
mice.impute.passive Passive Imputation
mice.impute.pmm Imputation by Predictive Mean Matching
mice.impute.polr Imputation by Polytomous Regression
mice.impute.polyreg Imputation by Polytomous Regression
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
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
nhanes NHANES example - all variables numerical
nhanes2 NHANES example - mixed numerical and discrete variables
plot-method Multiply Imputed Data Set
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
print-method Multiply Imputed Data Set
print-method Multiply Imputed Pooled Analysis
print-method Multiply Imputed Repeated Analyses
quickpred Quick selection of predictors from the data
rbind.mids Combine a Multiply Imputed Data Set with other mids object or dataframe
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
version Echoes the package version number
windspeed Subset of Irish wind speed data
with.mids Evaluate an expression in multiple imputed datasets
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