Learn from Training Data then Quickly Fill in Missing Data

TrainFastImputation() uses training data to describe a multivariate normal distribution that the data approximates or can be transformed into approximating and stores this information as an object of class 'FastImputationPatterns'. FastImputation() function uses this 'FastImputationPatterns' object to impute (make a good guess at) missing data in a single line or a whole data frame of data. This approximates the process used by 'Amelia' < http://gking.harvard.edu/amelia/> but is much faster when filling in values for a single line of data.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("FastImputation")

2.0 by Stephen R. Haptonstahl, 2 years ago


Browse source code at https://github.com/cran/FastImputation


Authors: Stephen R. Haptonstahl


Documentation:   PDF Manual  


Task views:


GPL (>= 2) license


Imports methods, Matrix

Suggests testthat, caret, e1071


See at CRAN