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DNNSIM: Single-Index Neural Network for Skewed Heavy-Tailed Data
Provides a deep neural network model with a monotonic increasing single index function tailored for periodontal disease studies. The residuals are assumed to follow a skewed T distribution, a skewed normal distribution, or a normal distribution. More details 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>), Shijie Wang [aut], Ray Bai [aut] (<https://orcid.org/0000-0002-7190-7844>), Dipankar Bandyopadhyay [aut] |
| Maintainer | Qingyang Liu <rh8liuqy@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
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