FDboost/DESCRIPTION at master · boost-R/FDboost · GitHub

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Type: Package
Package: FDboost
Title: Boosting Functional Regression Models
Version: 1.1-1
Date: 2022-09-08
Authors@R: c(
    person("Sarah", "Brockhaus", , "Sarah.Brockhaus@stat.uni-muenchen.de", role = "aut",
           comment = c(ORCID = "0000-0001-9484-7488")),
    person("David", "Ruegamer", , "david.ruegamer@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8772-9202")),
    person("Almond", "Stoecker", , "almond.stoecker@hu-berlin.de", role = "aut",
           comment = c(ORCID = "0000-0001-9160-2397")),
    person("Torsten", "Hothorn", role = "ctb",
           comment = c(ORCID = "0000-0001-8301-0471")),
    person("with contributions by many others", "(see inst/CONTRIBUTIONS)", role = "ctb")
  )
Description: Regression models for functional data, i.e.,
    scalar-on-function, function-on-scalar and function-on-function
    regression models, are fitted by a component-wise gradient boosting
    algorithm.  For a manual on how to use 'FDboost', see Brockhaus,
    Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
License: GPL-2
URL: https://github.com/boost-R/FDboost
BugReports: https://github.com/boost-R/FDboost/issues
Depends:
    mboost (>= 2.9-0),
    R (>= 3.5.0)
Imports:
    gamboostLSS (>= 2.0-0),
    graphics,
    grDevices,
    MASS,
    Matrix,
    methods,
    mgcv,
    stabs,
    stats,
    utils,
    zoo
Suggests:
    fda,
    fields,
    ggplot2,
    knitr,
    mapdata,
    maps,
    refund,
    testthat
VignetteBuilder:
    knitr
Encoding: UTF-8
Packaged: 2022-06-14 12:19:33 UTC; brockhaus
RoxygenNote: 7.3.2
Collate:
    'aaa.R'
    'FDboost-package.R'
    'FDboost.R'
    'baselearners.R'
    'baselearnersX.R'
    'bootstrapCIs.R'
    'clr_functions.R'
    'constrainedX.R'
    'crossvalidation.R'
    'factorize.R'
    'FDboostLSS.R'
    'hmatrix.R'
    'methods.R'
    'stabsel.R'
    'utilityFunctions.R'