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: 2022-09-26 20:18:38 UTC; david
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: 7.2.1
Encoding: UTF-8
BugReports: https://github.com/boost-R/FDboost/issues
URL: https://github.com/boost-R/FDboost
VignetteBuilder: knitr
NeedsCompilation: no
Author: Sarah Brockhaus [aut],
  David Ruegamer [aut, cre],
  Almond Stoecker [aut],
  Torsten Hothorn [ctb],
  with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Repository: CRAN
Date/Publication: 2022-09-27 09:20:05 UTC
Built: R 4.2.0; ; 2022-09-28 11:40:47 UTC; unix
