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tbm  

Transformation Boosting Machines
View on CRAN: Click here


Download and install tbm package within the R console
Install from CRAN:
install.packages("tbm")

Install from Github:
library("remotes")
install_github("cran/tbm")

Install by package version:
library("remotes")
install_version("tbm", "0.3-10")



Attach the package and use:
library("tbm")
Maintained by
Torsten Hothorn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-09
Latest Update: 2025-04-09
Description:
Boosting the likelihood of conditional and shift transformation models as introduced in \doi{10.1007/s11222-019-09870-4}.
How to cite:
Torsten Hothorn (2019). tbm: Transformation Boosting Machines. R package version 0.3-10, https://cran.r-project.org/web/packages/tbm. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:12), 0.3-0 (2019-04-09 11:03), 0.3-1 (2019-10-05 17:40), 0.3-2.1 (2020-04-01 07:38), 0.3-2 (2019-12-12 01:00), 0.3-3 (2020-11-27 15:30), 0.3-4 (2021-03-07 01:00), 0.3-5 (2022-01-14 09:40), 0.3-6 (2024-04-17 14:10), 0.3-7 (2025-04-09 17:00), 0.3-8 (2025-10-08 10:50), 0.3-9 (2025-11-18 16:50), 0.3-10 (2025-12-02 10:40)
Other packages that cited tbm R package
View tbm citation profile
Other R packages that tbm depends, imports, suggests or enhances
Complete documentation for tbm
Functions, R codes and Examples using the tbm R package
Some associated functions: ctmboost . stmboost . 
Some associated R codes: tbm.R .  Full tbm package functions and examples
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