Package: mboost
Title: Model-Based Boosting
Version: 2.9-7
Date: 2022-04-25
Authors@R: c(person("Torsten", "Hothorn", role = c("cre", "aut"), 
                email = "Torsten.Hothorn@R-project.org",
                comment = c(ORCID = "0000-0001-8301-0471")),
             person("Peter", "Buehlmann", role = "aut",
                    comment = c(ORCID = "0000-0002-1782-6015")),
             person("Thomas", "Kneib", role = "aut",
                    comment = c(ORCID = "0000-0003-3390-0972")),
             person("Matthias", "Schmid", role = "aut",
                    comment = c(ORCID = "0000-0002-0788-0317")),
             person("Benjamin", "Hofner", role = "aut",
	            comment = c(ORCID = "0000-0003-2810-3186")),
             person("Fabian", "Otto-Sobotka", role = "ctb",
                    comment = c(ORCID = "0000-0002-9874-1311")),
             person("Fabian", "Scheipl", role = "ctb",
                    comment = c(ORCID = "0000-0001-8172-3603")),
             person("Andreas", "Mayr", role = "ctb",
                    comment = c(ORCID = "0000-0001-7106-9732")))
Description: Functional gradient descent algorithm
  (boosting) for optimizing general risk functions utilizing
  component-wise (penalised) least squares estimates or regression
  trees as base-learners for fitting generalized linear, additive
  and interaction models to potentially high-dimensional data.
  Models and algorithms are described in <doi:10.1214/07-STS242>,
  a hands-on tutorial is available from <doi:10.1007/s00180-012-0382-5>.
  The package allows user-specified loss functions and base-learners.
Depends: R (>= 3.2.0), methods, stats, parallel, stabs (>= 0.5-0)
Imports: Matrix, survival (>= 3.2-10), splines, lattice, nnls,
        quadprog, utils, graphics, grDevices, partykit (>= 1.2-1)
Suggests: TH.data, MASS, fields, BayesX, gbm, mlbench, RColorBrewer,
        rpart (>= 4.0-3), randomForest, nnet, testthat (>= 0.10.0),
        kangar00
License: GPL-2
BugReports: https://github.com/boost-R/mboost/issues
URL: https://github.com/boost-R/mboost
NeedsCompilation: yes
Packaged: 2022-04-25 15:07:43 UTC; hothorn
Author: Torsten Hothorn [cre, aut] (<https://orcid.org/0000-0001-8301-0471>),
  Peter Buehlmann [aut] (<https://orcid.org/0000-0002-1782-6015>),
  Thomas Kneib [aut] (<https://orcid.org/0000-0003-3390-0972>),
  Matthias Schmid [aut] (<https://orcid.org/0000-0002-0788-0317>),
  Benjamin Hofner [aut] (<https://orcid.org/0000-0003-2810-3186>),
  Fabian Otto-Sobotka [ctb] (<https://orcid.org/0000-0002-9874-1311>),
  Fabian Scheipl [ctb] (<https://orcid.org/0000-0001-8172-3603>),
  Andreas Mayr [ctb] (<https://orcid.org/0000-0001-7106-9732>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Repository: CRAN
Date/Publication: 2022-04-26 04:52:20 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2022-04-26 17:21:26 UTC; windows
Archs: x64
