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surveynnet: Neural Network for Complex Survey Data

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>).

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: dplyr, nnet, PracTools, stats, survey, survival
Published: 2024-12-09
DOI: 10.32614/CRAN.package.surveynnet
Author: Aaron Cohen ORCID iD [aut, cre], Raul Cruz-Cano ORCID iD [aut]
Maintainer: Aaron Cohen <cohenaa at iu.edu>
BugReports: https://github.com/237triangle/surveynnet/issues
License: MIT + file LICENSE
URL: https://github.com/237triangle/surveynnet
NeedsCompilation: no
CRAN checks: surveynnet results

Documentation:

Reference manual: surveynnet.pdf

Downloads:

Package source: surveynnet_1.0.0.tar.gz
Windows binaries: r-devel: surveynnet_1.0.0.zip, r-release: surveynnet_1.0.0.zip, r-oldrel: surveynnet_1.0.0.zip
macOS binaries: r-release (arm64): surveynnet_1.0.0.tgz, r-oldrel (arm64): surveynnet_1.0.0.tgz, r-release (x86_64): surveynnet_1.0.0.tgz, r-oldrel (x86_64): surveynnet_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.