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-4.7-any)DNNSIM_0.1.1.zip(r-4.6-any)DNNSIM_0.1.1.zip(r-4.5-any)
DNNSIM_0.1.1.tgz(r-4.6-any)DNNSIM_0.1.1.tgz(r-4.5-any)
DNNSIM_0.1.1.tar.gz(r-4.7-any)DNNSIM_0.1.1.tar.gz(r-4.6-any)
DNNSIM_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DNNSIM/json (API)

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

Bug tracker:https://github.com/rh8liuqy/dnnsim/issues

On CRAN:

Conda:

2.70 score 1 stars 253 downloads 2 exports 14 dependencies

Last updated from:df3a5ff2d6. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE115
source / vignettesOK130
linux-releaseNOTE112
macos-releaseNOTE174
macos-oldrelNOTE183
windows-develNOTE71
windows-releaseNOTE93
windows-oldrelNOTE79
wasm-releaseOK96

Exports:data_simulationDNN_model

Dependencies:herejsonlitelatticeMatrixpngrappdirsrbibutilsRcppRcppTOMLRdpackreticulaterlangrprojrootwithr