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'
|Author||Stephen R. Haptonstahl|
|Date of publication||2017-03-12 09:02:10|
|Maintainer||Stephen R. Haptonstahl <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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