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badges: start --\u003e\n[![R-CMD-check](https://github.com/rauschenberger/corila/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rauschenberger/corila/actions/workflows/R-CMD-check.yaml)\n[![lint](https://github.com/rauschenberger/corila/actions/workflows/lint.yaml/badge.svg)](https://github.com/rauschenberger/corila/actions/workflows/lint.yaml)\n[![cyclocomp](https://github.com/rauschenberger/corila/actions/workflows/cyclocomp.yaml/badge.svg)](https://github.com/rauschenberger/corila/actions/workflows/cyclocomp.yaml)\n[![autotest](https://github.com/rauschenberger/corila/actions/workflows/autotest.yaml/badge.svg)](https://github.com/rauschenberger/corila/actions/workflows/autotest.yaml)\n[![goodpractice](https://github.com/rauschenberger/corila/actions/workflows/goodpractice.yaml/badge.svg)](https://github.com/rauschenberger/corila/actions/workflows/goodpractice.yaml)\n[![pkgcheck](https://github.com/rauschenberger/corila/actions/workflows/pkgcheck.yaml/badge.svg)](https://github.com/rauschenberger/corila/actions/workflows/pkgcheck.yaml)\n[![Codecov test coverage](https://codecov.io/gh/rauschenberger/corila/graph/badge.svg)](https://app.codecov.io/gh/rauschenberger/corila)\n[![life cycle: experimental](https://img.shields.io/badge/lifecycle-experimental-lightgray.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)\n[![CRAN status](https://img.shields.io/badge/CRAN-not%20yet%20published-lightgray)](https://CRAN.R-project.org/package=corila)\n\u003c!--[![CRAN status](https://www.r-pkg.org/badges/version/corila)](https://CRAN.R-project.org/package=corila)--\u003e\n\u003c!-- badges: end --\u003e\n\n# Sparse modelling with grouped and correlated features\n\n## Scope\n\nThe R package `corila` implements sparse modelling with grouped and correlated features allowing for privileged information (_Rauschenberger_, 2026).\n\n##  Installation\n\nInstall the latest development version from [GitHub](https://github.com/rauschenberger/corila):\n\n``` r\n#install.packages(\"remotes\")\nremotes::install_github(\"rauschenberger/corila\")\n```\n\n## Usage\n\nUse the function [`cv.corila`](https://rauschenberger.github.io/corila/reference/cv.corila.html) to model an outcome (`n`-dimensional vector _y_) based on many predictors (`n x p` matrix _X_) that are structured by groups (e.g., `p`-dimensional vector `group`) and potentially split into primary and auxiliary predictors (`p`-dimensional vector `primary`). See the [vignette](https://rauschenberger.github.io/corila/articles/vignette.html) for detailed examples.\n\n``` r\nlibrary(corila)\n#load(toydata)\nobject \u003c- cv.corila(x = x_train, y = y_train, group = group, primary = primary)\ncoef(object)\npredict(object, newx = x_test)\n```\n\n## Reference\n\nArmin Rauschenberger \n[![AR](https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png)](https://orcid.org/0000-0001-6498-4801)\n(2026).\n\"Sparse modelling with grouped and correlated features allowing for privileged information\".\n*Manuscript in preparation*.\n\n(Presented at [SIS-FENStatS](https://sis2026.sis-statistica.it/) in Rome, Italy, on 25 June 2026.)\n\n## Disclaimer\n\nThis public repository is on a personal GitHub account, but it has private pull mirrors on two institutional GitLab instances (see [LIH](https://git.lih.lu/arauschenberger/corila) and [LCSB](https://gitlab.com/uniluxembourg/Personalfolders/armin.rauschenberger/corila)).\n\nLarge-language models (mainly Claude Sonnet 4.6 and GTP-5.4) were used for reviewing R code and documentation and for adapting configuration files (`.yaml`).\n\n**Copyright** \u0026copy; 2025 Armin Rauschenberger; Luxembourg Institute of Health (LIH), Department of Medical Informatics (DMI), Bioinformatics and Artificial Intelligence (BioAI); University of Luxembourg, Luxembourg Centre for Systems Biomedicine (LCSB), Biomedical Data Science (BDS). This R package is distributed under a [GPL 3 license](LICENSE.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frauschenberger%2Fcorila","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frauschenberger%2Fcorila","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frauschenberger%2Fcorila/lists"}