# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "LRMiss" in publications use:'
type: software
license: MIT
title: 'LRMiss: Linear Regression with Missing Data'
version: 0.0.1
doi: 10.32614/CRAN.package.LRMiss
abstract: 'Provides methods for linear regression in the presence of missing data,
  including missingness in covariates and responses. The package implements two estimators:
  ''oss_estimator'', a low-dimensional semi-supervised method, and ''dantzig_missing'',
  a high-dimensional approach. The tuning parameter can be selected automatically
  via ''cv_dantzig_missing''. See the associated methodology paper for details.'
authors:
- family-names: Risebrow
  given-names: Benedict
  email: Benedict.risebrow@warwick.ac.uk
- family-names: Berrett
  given-names: Thomas
repository: https://benrisebrow.r-universe.dev
repository-code: https://github.com/benrisebrow/LRMiss
commit: 5ebaed63a45ff0b4ae81e49e65fdcb8f0bd5b93f
url: https://github.com/benrisebrow/LRMiss
date-released: '2026-02-17'
contact:
- family-names: Risebrow
  given-names: Benedict
  email: Benedict.risebrow@warwick.ac.uk