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orthoMTL  

Multi-Task Learning with Orthogonal Constraints
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("orthoMTL", "0.1.0")



Attach the package and use:
library("orthoMTL")
Maintained by
Kevin Vervier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-23
Latest Update: 2026-08-23
Description:
Fits regularised multi-task learning models where relationships between tasks are controlled via orthogonality or disjoint-support constraints. Supports regression, binary classification, and censored survival data. In survival mode, time-to-event outcomes are converted into binary labels at user-defined thresholds, enabling the discovery of features with time-varying effects that standard proportional-hazards models cannot detect. Implements the penalty described in Vervier et al. (2014) <https://hal.science/hal-00985654>.
How to cite:
Kevin Vervier (2026). orthoMTL: Multi-Task Learning with Orthogonal Constraints. R package version 0.1.0, https://cran.r-project.org/web/packages/orthoMTL. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-10-19 23:20), 0.1.0 (2026-08-23 12:10)
Other packages that cited orthoMTL R package
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Other R packages that orthoMTL depends, imports, suggests or enhances
Complete documentation for orthoMTL
Functions, R codes and Examples using the orthoMTL R package
Full orthoMTL package functions and examples
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