Single-Index Neural Network for Skewed Heavy-Tailed Data
Overview
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, Wang, Bai and Bandyopadhyay (2026) doi:10.1093/biostatistics/kxag040.
- Add sensitivity options to change the width, depth, and learning rate.
- Update the reference information.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 3includes a package overview page
- Examples that run
- 0%2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67% with a bibliography file
Downloads
Dependencies
Installing DNNSIM adds 12 packages (8 with compiled code, 7.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, reticulate 1.6 MB, rbibutils 1.1 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 0.2.1Latest2026-10-15 · current release · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-15 06:48 UTC, so it stayed less than the time between readings. - RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.12025-01-07
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-01-07
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 45 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DNNSIM")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.