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mboost

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Model-Based Boosting

View on CRAN: Click here

Download and install mboost package within the R console
Install from CRAN:

 install.packages("mboost")

Install from Github:

 library("remotes")

                        install_github("cran/mboost")

Install by package version:

 library("remotes")

                        install_version("mboost", "2.9-14")

Attach the package and use:

 library("mboost")

Maintained by
Torsten Hothorn
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2006-06-16

Latest Update: 2024-08-22

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 , a hands-on tutorial is available from . The package allows user-specified loss functions and base-learners.

How to cite:

Torsten Hothorn (2006). mboost: Model-Based Boosting. R package version 2.9-14, https://cran.r-project.org/web/packages/mboost. Accessed 05 Oct. 2026.

Previous versions and publish date:

(2026-09-06 21:00), 0.4-6 (2006-06-16 16:10), 0.4-7 (2006-06-21 09:51), 0.4-8 (2006-07-10 08:29), 0.4-9 (2006-07-19 18:20), 0.4-10 (2006-08-31 17:19), 0.4-11 (2006-09-07 14:38), 0.4-12 (2006-09-13 17:34), 0.4-13 (2006-10-04 21:49), 0.4-14 (2006-10-27 17:14), 0.4-15 (2006-12-06 17:17), 0.4-17 (2007-01-16 20:30), 0.5-0 (2007-02-01 15:03), 0.5-1 (2007-02-02 20:49), 0.5-2 (2007-03-01 09:14), 0.5-3 (2007-03-23 14:01), 0.5-4 (2007-04-19 18:27), 0.5-5 (2007-04-25 23:00), 0.5-6 (2007-05-07 17:23), 0.5-7 (2007-05-30 13:43), 0.5-8 (2007-05-31 16:38), 1.0-0 (2007-11-13 20:31), 1.0-1 (2007-12-09 16:08), 1.0-2 (2008-11-06 12:31), 1.0-3 (2008-11-07 10:01), 1.0-4 (2008-11-13 11:59), 1.0-5 (2008-12-02 11:24), 1.0-6 (2009-01-09 20:21), 1.1-0 (2009-03-27 17:56), 1.1-1 (2009-04-22 18:02), 1.1-2 (2009-07-21 20:47), 1.1-3 (2009-09-23 18:56), 1.1-4 (2009-11-18 12:50), 2.0-0 (2010-02-01 20:26), 2.0-1 (2010-03-01 16:28), 2.0-2 (2010-03-05 08:33), 2.0-3 (2010-03-10 12:02), 2.0-4 (2010-04-15 19:40), 2.0-5 (2010-05-22 08:36), 2.0-6 (2010-05-22 12:16), 2.0-7 (2010-09-30 12:01), 2.0-8 (2010-11-15 21:23), 2.0-9 (2010-11-19 17:32), 2.0-10 (2011-02-20 17:16), 2.0-11 (2011-04-13 14:50), 2.0-12 (2011-08-22 22:09), 2.1-0 (2011-11-15 18:09), 2.1-1 (2011-11-29 08:30), 2.1-2 (2012-02-29 15:32), 2.1-3 (2012-09-27 17:55), 2.2-0 (2012-11-27 21:12), 2.2-1 (2013-01-15 16:46), 2.2-2 (2013-02-08 11:36), 2.2-3 (2013-09-09 14:36), 2.3-0 (2014-06-26 11:02), 2.4-0 (2014-10-02 17:30), 2.4-1 (2014-12-16 00:39), 2.4-2 (2015-02-12 18:47), 2.5-0 (2015-08-14 08:27), 2.6-0 (2016-03-12 06:02), 2.7-0 (2016-11-23 14:09), 2.8-0 (2017-05-04 21:29), 2.8-1 (2017-07-23 19:34), 2.9-0 (2018-06-14 00:13), 2.9-1 (2018-08-22 07:10), 2.9-2.1 (2020-08-02 16:01), 2.9-2 (2020-02-18 09:20), 2.9-3 (2020-08-06 15:30), 2.9-4 (2020-12-10 10:40), 2.9-5 (2021-04-14 00:00), 2.9-6 (2022-04-09 02:12), 2.9-7 (2022-04-26 06:52), 2.9-8 (2023-09-06 18:40), 2.9-9 (2023-12-07 18:40), 2.9-10 (2024-04-29 20:30), 2.9-11 (2024-08-22 16:10), 2.9-12 (2026-07-15 12:20), 2.9-13 (2026-07-17 08:50)

Other packages that cited mboost R package

View mboost citation profile

Other R packages that mboost depends, imports, suggests or enhances

View mboost dependency map

Complete documentation for mboost

View documentation PDF

Functions, R codes and Examples using the mboost R package

Some associated functions: FP . Family . IPCweights . baselearners . blackboost . boost_family-class . confint . control . cvrisk . gamboost . glmboost . mboost_fit . mboost_intern . mboost_package . methods . plot . stabsel . survFit . varimp .
Some associated R codes: AAA.R . bkernel.R . bkronecker.R . bl.R . bmono.R . bmrf.R . bolscw.R . brad.R . btree.R . buser.R . confint.R . control.R . crossvalidation.R . family.R . helpers.R . mboost.R . mboost_intern.R . methods.R . plot.R . stabsel.R . survival.R . varimp.R . Full mboost package functions and examples

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