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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "corila" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'corila: Sparse modelling with grouped and correlated features allowing for
  privileged information'
version: 0.1.0
doi: '-'
identifiers:
- type: doi
  value: 10.32614/CRAN.package.corila
abstract: Implements lasso regression (Gaussian, binomial, Poisson, and Cox) for features
  in heterogeneous groups (e.g., where some groups contain subgroups of correlated
  features), overlapping groups (i.e., where some features belong to two or more groups),
  and misspecified groups (i.e., where some group labels are incorrect or missing).
  Involves an initial ridge regression followed by a final adaptive lasso regression.
  Exchanges information between features according to their assumed adjacencies or
  their observed correlations to improve selection and predictive performance. Allows
  for features that can provide information on other features but must not themselves
  be selected (i.e., privileged information).
authors:
- family-names: Rauschenberger
  given-names: Armin
  email: armin.rauschenberger@lih.lu
  orcid: https://orcid.org/0000-0001-6498-4801
preferred-citation:
  type: article
  title: Sparse modelling with grouped and correlated features allowing for privileged
    information
  authors:
  - family-names: Rauschenberger
    given-names: Armin
    email: armin.rauschenberger@lih.lu
    orcid: https://orcid.org/0000-0001-6498-4801
  journal: In preparation.
  year: '2026'
  volume: '-'
  doi: '-'
  start: '-'
repository: https://ropensci-staging.r-universe.dev
repository-code: https://github.com/rauschenberger/corila
commit: 1be89d13dee4d79b96c3b9e73886dc6cdcf26438
url: https://rauschenberger.github.io/corila/
date-released: '2026-10-09'
contact:
- family-names: Rauschenberger
  given-names: Armin
  email: armin.rauschenberger@lih.lu
  orcid: https://orcid.org/0000-0001-6498-4801