Learn from Training Data then Quickly Fill in Missing Data

Documentation for package ‘FastImputation’ version 1.3.1

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.
FItest	Fraud Imputation Test Data
FItrain	Fraud Training Data
FItrue	Fraud "True" Data
LimitToSet	Coerce numeric values into a given set.
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.