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FastImputation - MaRDI portal

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FastImputation (Q27534)

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Learn from Training Data then Quickly Fill in Missing Data
Language Label Description Also known as
English
FastImputation
Learn from Training Data then Quickly Fill in Missing Data

    Statements

    instance of
    R package
    0 references
    software version identifier
    2.1
    publication date
    9 February 2022
    0 references
    1.0
    publication date
    11 April 2012
    0 references
    1.1
    publication date
    21 May 2013
    0 references
    1.2
    publication date
    25 November 2013
    0 references
    1.3.1
    publication date
    28 June 2016
    0 references
    1.3
    publication date
    15 February 2016
    0 references
    2.0
    publication date
    12 March 2017
    0 references
    2.2.1
    publication date
    25 September 2023
    0 references
    programmed in
    R
    0 references
    last update
    25 September 2023
    0 references
    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' <https://gking.harvard.edu/amelia> but is much faster when filling in values for a single line of data.
    0 references
    imports
    methods
    0 references
    Matrix
    0 references

    Identifiers

    swMATH work ID
    15646
    0 references
     
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