Using Multiple Imputation to Address Missing Data


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Documentation for package ‘multimput’ version 0.2.7

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aggregatedImputed-class The aggregatedimputed class Holds an aggregated imputation data set
aggregate_impute Aggregate an imputed dataset
aggregate_impute-method Aggregate an imputed dataset
generateData Generate simulated data
impute Impute a dataset
impute-method Impute a dataset
inla-class inla
missingAtRandom Generate missing data at random
missingCurrentCount Generate missing data depending on the counts
missingObserved Generate missing data based on the observed patterns in the real dataset.
missingVolunteer Generate missing data mimicschoices made by volunteers.
model_impute Model an imputed dataset
model_impute-method Model an imputed dataset
rawImputed-class The rawimputed class Holds a dataset and imputed values
waterfowl The observation pattern in the Flemish waterfowl dataset