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rrBLUP - MaRDI portal

rrBLUP (Q25915)

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Ridge Regression and Other Kernels for Genomic Selection
Language Label Description Also known as
English
rrBLUP
Ridge Regression and Other Kernels for Genomic Selection

    Statements

    instance of
    R package
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    software version identifier
    4.6.2
    publication date
    6 January 2023
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    1.0
    publication date
    8 May 2011
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    1.1
    publication date
    20 May 2011
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    1.2
    publication date
    17 August 2011
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    1.6
    publication date
    21 September 2011
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    1.7
    publication date
    23 September 2011
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    1.8
    publication date
    29 September 2011
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    2.0
    publication date
    14 October 2011
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    2.1
    publication date
    2 November 2011
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    2.2
    publication date
    5 November 2011
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    2.3
    publication date
    10 November 2011
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    2.5
    publication date
    23 November 2011
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    2.7
    publication date
    2 December 2011
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    2.8
    publication date
    17 December 2011
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    3.0
    publication date
    4 January 2012
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    3.1
    publication date
    5 January 2012
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    3.2
    publication date
    25 January 2012
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    3.3
    publication date
    1 February 2012
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    3.4
    publication date
    6 February 2012
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    3.5
    publication date
    14 February 2012
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    3.6
    publication date
    3 April 2012
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    3.7
    publication date
    10 April 2012
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    3.8
    publication date
    17 May 2012
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    4.0
    publication date
    18 September 2012
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    4.1
    publication date
    21 December 2012
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    4.2
    publication date
    18 June 2013
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    4.3
    publication date
    6 March 2014
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    4.4
    publication date
    28 October 2015
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    4.5
    publication date
    13 June 2017
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    4.6.1
    publication date
    18 December 2019
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    4.6
    publication date
    28 January 2018
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    4.6.3
    publication date
    10 December 2023
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    programmed in
    R
    0 references
    last update
    10 December 2023
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    description
    Software for genomic prediction with the RR-BLUP mixed model (Endelman 2011, <doi:10.3835/plantgenome2011.08.0024>). One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive relationship matrix or a Gaussian kernel.
    0 references
    author
    Jeffrey Endelman
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    imports
    stats
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    graphics
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    grDevices
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    parallel
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    Identifiers

    swMATH work ID
    14006
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    CRAN project
    rrBLUP
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