# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "enpls" in publications use:' type: software license: GPL-3.0-only title: 'enpls: Ensemble Partial Least Squares Regression' version: '6.1' doi: 10.32614/CRAN.package.enpls abstract: An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions. authors: - family-names: Xiao given-names: Nan email: me@nanx.me orcid: https://orcid.org/0000-0002-0250-5673 - family-names: Cao given-names: Dong-Sheng - family-names: Li given-names: Miao-Zhu email: miaozhu.li@duke.edu - family-names: Xu given-names: Qing-Song email: qsxu@csu.edu.cn repository: https://nanxstats.r-universe.dev repository-code: https://github.com/nanxstats/enpls commit: fc3aee22ba8b8cdebdfa7260028ed26d8fa7870c url: https://nanx.me/enpls/ contact: - family-names: Xiao given-names: Nan email: me@nanx.me orcid: https://orcid.org/0000-0002-0250-5673