Package: DNNSIM
Type: Package
Title: Single-Index Neural Network for Skewed Heavy-Tailed Data
Version: 0.1.1
Authors@R: c(
    person("Qingyang", "Liu", email = "rh8liuqy@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3265-6330")),
    person("Shijie", "Wang", email = "shijiew.usc@gmail.com", role = "aut"),
    person("Ray", "Bai", email = "rbai@mailbox.sc.edu", role = "aut", comment = c(ORCID = "0000-0002-7190-7844")),
    person("Dipankar", "Bandyopadhyay", email = "dbandyop@vcu.edu", role = "aut"))
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
RdMacros: Rdpack
SystemRequirements: Python (>= 3.8.0); PyTorch (https://pytorch.org/);
        NumPy (https://numpy.org/); SciPy (https://scipy.org/); sklearn
        (https://scikit-learn.org/stable/);
RoxygenNote: 7.3.2
Imports: reticulate (>= 1.37.0), stats (>= 4.3.0), Rdpack (>= 2.6)
NeedsCompilation: no
Packaged: 2026-07-04 07:36:43 UTC; root
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]
Config/pak/sysreqs: libpng-dev python3
Repository: https://rh8liuqy.r-universe.dev
Date/Publication: 2025-08-08 14:44:01 UTC
RemoteUrl: https://github.com/rh8liuqy/dnnsim
RemoteRef: HEAD
RemoteSha: 41935cc65c6037a25fd797e35ca78b84a9f94bb3
Depends: R (>= 3.5.0)