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mboost - MaRDI portal

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mboost (Q19367)

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Model-Based Boosting
Language Label Description Also known as
English
mboost
Model-Based Boosting

    Statements

    instance of
    R package
    0 references
    software version identifier
    2.9-7
    publication date
    26 April 2022
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    0.4-6
    publication date
    16 June 2006
    0 references
    0.4-7
    publication date
    21 June 2006
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    0.4-8
    publication date
    10 July 2006
    0 references
    0.4-9
    publication date
    19 July 2006
    0 references
    0.4-10
    publication date
    31 August 2006
    0 references
    0.4-11
    publication date
    7 September 2006
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    0.4-12
    publication date
    13 September 2006
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    0.4-13
    publication date
    4 October 2006
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    0.4-14
    publication date
    27 October 2006
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    0.4-15
    publication date
    6 December 2006
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    0.4-17
    publication date
    16 January 2007
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    0.5-0
    publication date
    1 February 2007
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    0.5-1
    publication date
    2 February 2007
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    0.5-2
    publication date
    1 March 2007
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    0.5-3
    publication date
    23 March 2007
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    0.5-4
    publication date
    19 April 2007
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    0.5-5
    publication date
    25 April 2007
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    0.5-6
    publication date
    7 May 2007
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    0.5-7
    publication date
    30 May 2007
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    0.5-8
    publication date
    31 May 2007
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    1.0-0
    publication date
    13 November 2007
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    1.0-1
    publication date
    9 December 2007
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    1.0-2
    publication date
    6 November 2008
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    1.0-3
    publication date
    7 November 2008
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    1.0-4
    publication date
    13 November 2008
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    1.0-5
    publication date
    2 December 2008
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    1.0-6
    publication date
    9 January 2009
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    1.1-0
    publication date
    27 March 2009
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    1.1-1
    publication date
    22 April 2009
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    1.1-2
    publication date
    21 July 2009
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    1.1-3
    publication date
    23 September 2009
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    1.1-4
    publication date
    18 November 2009
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    2.0-0
    publication date
    1 February 2010
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    2.0-1
    publication date
    1 March 2010
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    2.0-2
    publication date
    5 March 2010
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    2.0-3
    publication date
    10 March 2010
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    2.0-4
    publication date
    15 April 2010
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    2.0-5
    publication date
    22 May 2010
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    2.0-6
    publication date
    22 May 2010
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    2.0-7
    publication date
    30 September 2010
    0 references
    2.0-8
    publication date
    15 November 2010
    0 references
    2.0-9
    publication date
    19 November 2010
    0 references
    2.0-10
    publication date
    20 February 2011
    0 references
    2.0-11
    publication date
    13 April 2011
    0 references
    2.0-12
    publication date
    22 August 2011
    0 references
    2.1-0
    publication date
    15 November 2011
    0 references
    2.1-1
    publication date
    29 November 2011
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    2.1-2
    publication date
    29 February 2012
    0 references
    2.1-3
    publication date
    27 September 2012
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    2.2-0
    publication date
    27 November 2012
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    2.2-1
    publication date
    15 January 2013
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    2.2-2
    publication date
    8 February 2013
    0 references
    2.2-3
    publication date
    9 September 2013
    0 references
    2.3-0
    publication date
    26 June 2014
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    2.4-0
    publication date
    2 October 2014
    0 references
    2.4-1
    publication date
    16 December 2014
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    2.4-2
    publication date
    12 February 2015
    0 references
    2.5-0
    publication date
    14 August 2015
    0 references
    2.6-0
    publication date
    12 March 2016
    0 references
    2.7-0
    publication date
    23 November 2016
    0 references
    2.8-0
    publication date
    4 May 2017
    0 references
    2.8-1
    publication date
    23 July 2017
    0 references
    2.9-0
    publication date
    14 June 2018
    0 references
    2.9-1
    publication date
    22 August 2018
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    2.9-2.1
    publication date
    2 August 2020
    0 references
    2.9-2
    publication date
    18 February 2020
    0 references
    2.9-3
    publication date
    6 August 2020
    0 references
    2.9-4
    publication date
    10 December 2020
    0 references
    2.9-5
    publication date
    14 April 2021
    0 references
    2.9-6
    publication date
    9 April 2022
    0 references
    2.9-8
    publication date
    6 September 2023
    0 references
    2.9-9
    publication date
    7 December 2023
    0 references
    programmed in
    R
    0 references
    last update
    7 December 2023
    0 references
    description
    Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in <doi:10.1214/07-STS242>, a hands-on tutorial is available from <doi:10.1007/s00180-012-0382-5>. The package allows user-specified loss functions and base-learners.
    0 references
    author
    Torsten Hothorn
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    Thomas Kneib
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    Matthias Schmid
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    Benjamin Hofner
    0 references
    Peter Bühlmann
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    depends on software
    methods
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    stats
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    parallel
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    stabs
    software version identifier
    ≥ 0.5-0
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    R
    software version identifier
    ≥ 3.2.0
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    imports
    Matrix
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    survival
    software version identifier
    ≥ 3.2-10
    0 references
    splines
    0 references
    lattice
    0 references
    nnls
    0 references
    quadprog
    0 references
    utils
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    graphics
    0 references
    grDevices
    0 references
    partykit
    software version identifier
    ≥ 1.2-1
    0 references

    Identifiers

    swMATH work ID
    7331
    0 references
    CRAN project
    mboost
    0 references
     
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