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:
DNNSIM_0.1.1.tar.gz
DNNSIM_0.1.1.zip(r-4.7)DNNSIM_0.1.1.zip(r-4.6)DNNSIM_0.1.1.zip(r-4.5)
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✨
card.svg |card.png
DNNSIM/json (API)
NEWS
| # 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
Last updated from:41935cc65c. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 123 | ||
| source / vignettes | OK | 168 | ||
| linux-release-x86_64 | NOTE | 130 | ||
| macos-release-arm64 | NOTE | 150 | ||
| macos-oldrel-arm64 | NOTE | 82 | ||
| windows-devel | NOTE | 87 | ||
| windows-release | NOTE | 100 | ||
| windows-oldrel | NOTE | 79 | ||
| wasm-release | OK | 111 |
Exports:data_simulationDNN_model
Dependencies:herejsonlitelatticeMatrixpngrappdirsrbibutilsRcppRcppTOMLRdpackreticulaterlangrprojrootwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulate data for the DNN-SIM model | data_simulation |
| Define and train the DNN-SIM model | DNN_model |
| The 'DNNSIM' package. | DNNSIM-package DNNSIM |
