Package: FDboost
Type: Package
Title: Boosting Functional Regression Models
Version: 0.2-0
Date: 2016-06-20
Authors@R: c(person("Sarah", "Brockhaus", role = c("aut", "cre"),
		            email = "Sarah.Brockhaus@stat.uni-muenchen.de"), 
			 person("David", "Ruegamer", role = "aut", 
			        email = "david.ruegamer@stat.uni-muenchen.de"),
			 person("Torsten", "Hothorn", role = "ctb"), 
			 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.
Depends: R (>= 3.0.0), methods, mboost (>= 2.6-0)
Imports: graphics, grDevices, utils, stats, Matrix, gamboostLSS (>=
        1.2-1), stabs, mgcv, refund, MASS, zoo
Suggests: fda, fields, maps, mapdata
License: GPL-2
Packaged: 2016-06-20 15:27:02 UTC; brockhaus
Collate: 'FDboost.R' 'baselearners.R' 'baselearnersX.R'
        'constrainedX.R' 'crossvalidation.R' 'FDboostLSS.R' 'hmatrix.R'
        'methods.R' 'stabsel.R' 'utilityFunctions.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Author: Sarah Brockhaus [aut, cre],
  David Ruegamer [aut],
  Torsten Hothorn [ctb],
  with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Maintainer: Sarah Brockhaus <Sarah.Brockhaus@stat.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2016-06-20 20:21:55
Built: R 3.2.5; ; 2017-04-20 09:01:38 UTC; windows
