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 (may not be active yet)
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: not available, r-release: not available, 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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