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DNNSIM  

Single-Index Neural Network for Skewed Heavy-Tailed Data
View on CRAN: Click here


Download and install DNNSIM package within the R console
Install from CRAN:
install.packages("DNNSIM")

Install from Github:
library("remotes")
install_github("cran/DNNSIM")

Install by package version:
library("remotes")
install_version("DNNSIM", "0.1.1")



Attach the package and use:
library("DNNSIM")
Maintained by
Qingyang Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-07
Latest Update: 2025-01-07
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>.
How to cite:
Qingyang Liu (2025). DNNSIM: Single-Index Neural Network for Skewed Heavy-Tailed Data. R package version 0.1.1, https://cran.r-project.org/web/packages/DNNSIM. Accessed 25 Jun. 2026.
Previous versions and publish date:
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View DNNSIM citation profile
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Complete documentation for DNNSIM
Functions, R codes and Examples using the DNNSIM R package
Full DNNSIM package functions and examples
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