# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "TLIC" in publications use:' type: software license: MIT title: 'TLIC: The LIC for T Distribution Regression Analysis' version: '0.2' doi: 10.32614/CRAN.package.TLIC abstract: This comprehensive toolkit for T-distribution regression, known as the analysis of "TLIC" (T-distribution Linear regression Integrated Corrector), adopts ordinary least squares method and assumes that errors follow a T-distribution. This approach gives it an advantage when dealing with small samples or non-normal error distributions, and can provide more robust parameter estimation and hypothesis testing results.The philosophy of the package is described in Guo G. (2020) . authors: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com orcid: https://orcid.org/0000-0002-4115-6218 - family-names: Jing given-names: Guofu repository: https://guangbaog.r-universe.dev commit: 5fa3119ef56b67d501b92c351a1144963aa067f5 date-released: '2024-08-30' contact: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com orcid: https://orcid.org/0000-0002-4115-6218