# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "pksensi" in publications use:' type: software license: GPL-3.0-only title: 'pksensi: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling' version: 1.2.3 doi: 10.1016/j.softx.2020.100609 identifiers: - type: doi value: 10.32614/CRAN.package.pksensi abstract: Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters. The workflow was first mentioned in Hsieh et al., (2018) , then further refined (Hsieh et al., 2020 ). authors: - family-names: Hsieh given-names: Nan-Hung email: d99622005@ntu.edu.tw orcid: https://orcid.org/0000-0003-0163-2766 preferred-citation: type: article title: 'pksensi: An R package to apply global sensitivity analysis in physiologically based kinetic modeling' authors: - family-names: Hsieh given-names: Nan-Hung email: d99622005@ntu.edu.tw orcid: https://orcid.org/0000-0003-0163-2766 - family-names: Reisfeld given-names: Brad - family-names: Chiu given-names: Weihsueh A. journal: SoftwareX year: '2020' volume: '12' doi: 10.1016/j.softx.2020.100609 start: '100609' repository: https://nanhung.r-universe.dev repository-code: https://github.com/nanhung/pksensi commit: 38406a834ebc857bcaf40daea4f66b5bbdd33db4 url: https://nanhung.github.io/pksensi/ contact: - family-names: Hsieh given-names: Nan-Hung email: d99622005@ntu.edu.tw orcid: https://orcid.org/0000-0003-0163-2766