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orthoMTL: Multi-Task Learning with Orthogonal Constraints

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>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: parallel, doParallel, foreach, ggplot2, rlang, stats
Suggests: knitr, glmnet, testthat (≥ 3.0.0), survival, rmarkdown
Published: 2026-08-23
DOI: 10.32614/CRAN.package.orthoMTL
Author: Kevin Vervier [aut, cre], Novartis Pharma AG [cph, fnd]
Maintainer: Kevin Vervier <kevin.vervier at novartis.com>
License: GPL-3
NeedsCompilation: no
Citation: orthoMTL citation info
Materials: README, NEWS
CRAN checks: orthoMTL results

Documentation:

Reference manual: orthoMTL.html , orthoMTL.pdf
Vignettes: Introduction to orthoMTL: Multi-Task Survival Analysis (source, R code)

Downloads:

Package source: orthoMTL_0.1.0.tar.gz
Windows binaries: r-devel: orthoMTL_0.1.0.zip, r-release: orthoMTL_0.1.0.zip, r-oldrel: orthoMTL_0.1.0.zip
macOS binaries: r-release (arm64): orthoMTL_0.1.0.tgz, r-oldrel (arm64): orthoMTL_0.1.0.tgz, r-release (x86_64): orthoMTL_0.1.0.tgz, r-oldrel (x86_64): orthoMTL_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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