Package: DNNSIM 0.1.1

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>.

Authors:Qingyang Liu [aut, cre], Shijie Wang [aut], Ray Bai [aut], Dipankar Bandyopadhyay [aut]

DNNSIM_0.1.1.tar.gz
DNNSIM_0.1.1.zip(r-4.5)DNNSIM_0.1.1.zip(r-4.4)DNNSIM_0.1.1.zip(r-4.3)
DNNSIM_0.1.1.tgz(r-4.4-any)DNNSIM_0.1.1.tgz(r-4.3-any)
DNNSIM_0.1.1.tar.gz(r-4.5-noble)DNNSIM_0.1.1.tar.gz(r-4.4-noble)
DNNSIM_0.1.1.tgz(r-4.4-emscripten)DNNSIM_0.1.1.tgz(r-4.3-emscripten)
DNNSIM.pdf |DNNSIM.html
DNNSIM/json (API)
NEWS

# Install 'DNNSIM' in R:
install.packages('DNNSIM', repos = c('https://rh8liuqy.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 exports 14 dependencies

Last updated 8 days agofrom:24179568aa. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 08 2025
R-4.5-winOKJan 08 2025
R-4.5-linuxOKJan 08 2025
R-4.4-winOKJan 08 2025
R-4.4-macOKJan 08 2025
R-4.3-winOKJan 08 2025
R-4.3-macOKJan 08 2025

Exports:data_simulationDNN_model

Dependencies:herejsonlitelatticeMatrixpngrappdirsrbibutilsRcppRcppTOMLRdpackreticulaterlangrprojrootwithr