R: Learn from Training Data then Quickly Fill in Missing Data

# Learn from Training Data then Quickly Fill in Missing Data

## Documentation for package ‘FastImputation’ version 2.2.1

- DESCRIPTION file

## Help Pages

BoundNormalizedVariable | Take a normalized variable and transform it back to a bounded variable.
CovarianceWithMissing | Estimate covariance when data is missing
FastImputation | Use the pattern learned from the training data to impute (fill in good guesses for) missing values.
FI_test | Imputation Test Data
FI_train | Imputation Training Data
FI_true | Imputation "True" Data
NormalizeBoundedVariable | Take a variable bounded above/below/both and return an unbounded (normalized) variable.
TrainFastImputation | Learn from the training data so that later you can fill in missing data
UnfactorColumns | Convert columns of a dataframe from factors to character or numeric.