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DynForest - MaRDI portal

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DynForest (Q1349596)

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Random Forest with Multivariate Longitudinal Predictors
Language Label Description Also known as
English
DynForest
Random Forest with Multivariate Longitudinal Predictors

    Statements

    instance of
    R package
    0 references
    software version identifier
    1.1.1
    publication date
    11 February 2023
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    1.0.0
    publication date
    20 September 2022
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    1.1.0
    publication date
    19 November 2022
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    1.1.2
    publication date
    11 December 2023
    0 references
    programmed in
    R
    0 references
    last update
    11 December 2023
    0 references
    description
    Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima (2023) <doi:10.1177/09622802231206477>.
    0 references
    author
    Anthony Devaux
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    Robin Genuer
    0 references
    Cécile Proust-Lima
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    Louis Capitaine
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    imports
    DescTools
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    cmprsk
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    doParallel
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    doRNG
    0 references
    foreach
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    ggplot2
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    lcmm
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    methods
    0 references
    pbapply
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    pec
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    prodlim
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    stringr
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    survival
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    zoo
    0 references

    Identifiers

    swMATH work ID
    44372
    0 references
    CRAN project
    DynForest
    0 references
     
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