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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 "GUEST" in publications use:'
type: software
license: GPL-2.0-only
title: 'GUEST: Graphical Models in Ultrahigh-Dimensional and Error-Prone Data via
  Boosting Algorithm'
version: 0.2.0
doi: 10.32614/CRAN.package.GUEST
abstract: We consider the ultrahigh-dimensional and error-prone data. Our goal aims
  to estimate the precision matrix and identify the graphical structure of the random
  variables with measurement error corrected. We further adopt the estimated precision
  matrix to the linear discriminant function to do classification for multi-label
  classes.
authors:
- family-names: Tsao
  given-names: Hui-Shan
  email: n410412@gmail.com
- family-names: Chen
  given-names: Li-Pang
  email: lchen723@nccu.edu.tw
repository: https://n410412-beep.r-universe.dev
commit: 5e14988a1b849ef9069b2e2588b9eec724c1eaf0
date-released: '2024-07-31'
contact:
- family-names: Tsao
  given-names: Hui-Shan
  email: n410412@gmail.com