Man pages for ThierryO/multimput
Using Multiple Imputation to Address Missing Data

aggregatedImputed-classThe aggregatedimputed class Holds an aggregated imputation...
aggregate_imputeAggregate an imputed dataset
exampleThe indices for the example dataset
generateDataGenerate simulated data
imputeImpute a dataset
imputedTotalsCalculate the totals over an imputed dataset
imputeINLAimpute missing data using multiple imputation
imputeINLAfitimpute missing data using the predicted values
imputeTruthimpute missing data using multiple imputation
imputeUnderhillimpute missing data
imputeUnderhillAlteredimpute missing data using an alterned Underhill method
missingAtRandomGenerate missing data at random
missingCurrentCountGenerate missing data depending on the counts
missingObservedGenerate missing data based on the observed patterns in the...
missingVolunteerGenerate missing data mimicschoices made by volunteers.
model_imputeModel an imputed dataset
rawImputed-classThe rawimputed class Holds a dataset and imputed values
results.inlaThe Monte Carlo simualtion results using INLA
results.trimThe Monte Carlo simualtion results using birdSTATs and TRIM
results.truthThe Monte Carlo simualtion results using the complete data
results.underhillThe Monte Carlo simualtion results using Underhill
summarizeImputationGLMsummarize the imputed dataset with a glm model
summarizeImputationGLM.nbsummarize the imputed dataset with a glm model
waterfowlThe observation pattern in the Flemish waterfowl dataset
ThierryO/multimput documentation built on May 10, 2017, 4:45 p.m.