# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "brtobit" in publications use:' type: software license: - GPL-2.0-only - GPL-3.0-only title: 'brtobit: Bias-Reduced Tobit Regression' version: 0.1-2 identifiers: - type: doi value: 10.32614/CRAN.package.brtobit abstract: Tobit models are regression models with a Gaussian response variable left-censored at zero, constant latent variance, and a latent mean that depends on covariates through a linear predictor. As an alternative to plain maximum likelihood estimation, the adjusted score equations of Kosmidis and Firth (2010) are utilized to obtain bias-reduced estimates of the model parameters. authors: - family-names: Zeileis given-names: Achim email: Achim.Zeileis@R-project.org orcid: https://orcid.org/0000-0003-0918-3766 - family-names: Kosmidis given-names: Ioannis email: ioannis.kosmidis@warwick.ac.uk orcid: https://orcid.org/0000-0003-1556-0302 - family-names: Koell given-names: Susanne email: susanne.berger114@gmail.com preferred-citation: type: report title: Bias Reduction as a Remedy to the Consequences of Infinite Estimates in Poisson and Tobit Regression authors: - family-names: K\"oll given-names: Susanne email: susanne.berger114@gmail.com - family-names: Kosmidis given-names: Ioannis email: ioannis.kosmidis@warwick.ac.uk orcid: https://orcid.org/0000-0003-1556-0302 - family-names: Kleiber given-names: Christian email: Christian.Kleiber@unibas.ch - family-names: Zeileis given-names: Achim email: Achim.Zeileis@R-project.org orcid: https://orcid.org/0000-0003-0918-3766 year: '2021' institution: name: arXiv.org E-Print Archive issue: '2101.07141' month: '1' url: https://arxiv.org/abs/2101.07141 repository: https://zeileis.r-universe.dev commit: 06b70d6fea89fc0d7f1e153e7fe9a5f80cca0aee date-released: '2024-05-12' contact: - family-names: Zeileis given-names: Achim email: Achim.Zeileis@R-project.org orcid: https://orcid.org/0000-0003-0918-3766