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# CITATION 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 "dacc" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'dacc: Detection and Attribution Analysis of Climate Change'
version: 0.0-5
doi: 10.32614/CRAN.package.dacc
abstract: Conduct detection and attribution of climate change using methods including
  optimal fingerprinting via generalized total least squares or estimating equation
  approach from Ma et al. (2023) <https://doi.org/10.1175/JCLI-D-22-0681.1>. Provide
  shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) <https://doi.org/10.1016/S0047-259X(03)00096-4>,
  and Ledoit and Wolf (2017) <https://doi.org/10.2139/ssrn.2383361>.
authors:
- family-names: Li
  given-names: Yan
  email: yan.4.li@uconn.edu
- family-names: Chen
  given-names: Kun
- family-names: Yan
  given-names: Jun
repository: https://liyanstat.r-universe.dev
repository-code: https://github.com/LiYanStat/dacc
commit: cc4ac75fd7221ef283f3a86bec6dbef52cba4dd7
url: https://github.com/LiYanStat/dacc
date-released: '2024-08-25'
contact:
- family-names: Li
  given-names: Yan
  email: yan.4.li@uconn.edu