DESCRIPTION

Package: FDboost
Type: Package
Title: Boosting Functional Regression Models
Version: 1.1-1
Date: 2022-09-08
Authors@R: c(person("Sarah", "Brockhaus", role = "aut",
		            email = "Sarah.Brockhaus@stat.uni-muenchen.de"), 
			 person("David", "Ruegamer", role = c("aut", "cre"), 
			        email = "david.ruegamer@gmail.com"),
			 person("Almond", "Stoecker", role = "aut", 
			        email = "almond.stoecker@hu-berlin.de"),
			 person("Torsten", "Hothorn", role = "ctb"), 
			 person("with contributions by many others", "(see inst/CONTRIBUTIONS)", role = "ctb"))
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
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>.
Depends:
    R (>= 3.5.0),
    mboost (>= 2.9-0)
Imports:
    methods,
    graphics,
    grDevices,
    utils,
    stats,
    Matrix,
    gamboostLSS (>= 2.0-0),
    stabs,
    mgcv,
    MASS,
    zoo
Suggests:
    fda,
    fields,
    ggplot2,
    maps,
    mapdata,
    knitr,
    refund,
    testthat
License: GPL-2
Packaged: 2022-06-14 12:19:33 UTC; brockhaus
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'
RoxygenNote: 7.2.3
Encoding: UTF-8
BugReports: https://github.com/boost-R/FDboost/issues
URL: https://github.com/boost-R/FDboost
VignetteBuilder: knitr