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GUD: Bayesian Modal Regression Based on the GUD Family
Provides probability density functions and sampling algorithms for three key distributions from the General Unimodal Distribution (GUD) family: the Flexible Gumbel (FG) distribution, the Double Two-Piece (DTP) Student-t distribution, and the Two-Piece Scale (TPSC) Student-t distribution. Additionally, this package includes a function for Bayesian linear modal regression, leveraging these three distributions for model fitting. The details of the Bayesian modal regression model based on the GUD family can be found at Liu, Huang, and Bai (2024) <doi:10.1016/j.csda.2024.108012>.
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Package details |
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| Author | Qingyang Liu [aut, cre] (<https://orcid.org/0000-0003-3265-6330>), Xianzheng Huang [aut] (<https://orcid.org/0000-0001-7077-0869>), Ray Bai [aut] (<https://orcid.org/0000-0002-7190-7844>) |
| Maintainer | Qingyang Liu <qingyang@email.sc.edu> |
| License | GPL (>= 3) |
| Version | 1.0.2 |
| URL | https://github.com/rh8liuqy/Bayesian_modal_regression |
| Package repository | View on CRAN |
| Installation |
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