Learn from Training Data then Quickly Fill in Missing Data

Documentation for package ‘FastImputation’ version 2.2.1

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.