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FastImputation  

Learn from Training Data then Quickly Fill in Missing Data
View on CRAN: Click here


Download and install FastImputation package within the R console
Install from CRAN:
install.packages("FastImputation")

Install from Github:
library("remotes")
install_github("cran/FastImputation")

Install by package version:
library("remotes")
install_version("FastImputation", "2.2.1")



Attach the package and use:
library("FastImputation")
Maintained by
Stephen R. Haptonstahl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-04-11
Latest Update: 2023-09-25
Description:
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' but is much faster when filling in values for a single line of data.
How to cite:
Stephen R. Haptonstahl (2012). FastImputation: Learn from Training Data then Quickly Fill in Missing Data. R package version 2.2.1, https://cran.r-project.org/web/packages/FastImputation. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2012-04-11 03:59), 1.1 (2013-05-21 18:35), 1.2 (2013-11-25 20:52), 1.3.1 (2016-06-28 08:25), 1.3 (2016-02-15 23:43), 2.0 (2017-03-12 09:02), 2.1 (2022-02-09 08:40)
Other packages that cited FastImputation R package
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Complete documentation for FastImputation
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