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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
2026-04-09 windows/windows R-4.5 | DNNSIM_0.1.1.zip |
34.7 KiB |
Dependencies (latest)
Imports
- reticulate (>= 1.37.0)
- stats (>= 4.3.0)
- Rdpack (>= 2.6)