surveynnet
1.0.0Neural Network for Complex Survey Data
Overview
The goal of 'surveynnet' is to extend the functionality of 'nnet', which already supports survey weights, by enabling it to handle clustered and stratified data. It achieves this by incorporating design effects through the use of effective sample sizes as outlined by Chen and Rust (2017), doi:10.1093/jssam/smw036, and performed by 'deffCR' in the package 'PracTools' (Valliant, Dever, and Kreuter (2018), doi:10.1007/978-3-319-93632-1).
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 25%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-31issues were not corrected in time
- RR 4.5.0 released · 2025-04-11
- 1.0.02024-12-09
- RR 4.4.0 released · 2024-04-24
Package metadata
- Total releases
- 1
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 108 KB / 2 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("surveynnet")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.