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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 DNNSIM_0.1.1.tar.gz 30.4 KiB
0.1.1 rolling linux/noble R-4.5 DNNSIM_0.1.1.tar.gz 30.3 KiB
0.1.1 rolling source/ R- DNNSIM_0.1.1.tar.gz 22.8 KiB
0.1.1 latest linux/jammy R-4.5 DNNSIM_0.1.1.tar.gz 30.4 KiB
0.1.1 latest linux/noble R-4.5 DNNSIM_0.1.1.tar.gz 30.3 KiB
0.1.1 latest source/ R- DNNSIM_0.1.1.tar.gz 22.8 KiB
0.1.1 2026-04-26 source/ R- DNNSIM_0.1.1.tar.gz 22.8 KiB
0.1.1 2026-04-23 source/ R- DNNSIM_0.1.1.tar.gz 22.8 KiB
0.1.1 2026-04-09 windows/windows R-4.5 DNNSIM_0.1.1.zip 34.7 KiB
0.1.1 2025-04-20 source/ R- DNNSIM_0.1.1.tar.gz 22.8 KiB

Dependencies (latest)

Imports