Single-Index Neural Network for Skewed Heavy-Tailed Data R package DNNSIM version 0.1.1 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>. Software Imports: reticulate (>= 1.37.0), stats (>= 4.3.0), Rdpack (>= 2.6) Qingyang Liu <rh8liuqy@gmail.com> Comprehensive R Archive Network (CRAN) Qingyang Liu [aut, cre] (ORCID: <https://orcid.org/0000-0003-3265-6330>), Shijie Wang [aut], Ray Bai [aut] (ORCID: <https://orcid.org/0000-0002-7190-7844>), Dipankar Bandyopadhyay [aut] GPL (>= 3) 2025-01-07 application/tgz https://CRAN.R-project.org/package=DNNSIM doi:10.32614/CRAN.package.DNNSIM