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>).">

surveynnet: Neural Network for Complex Survey Data (original) (raw)

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
BugReports: https://github.com/237triangle/surveynnet/issues
License: MIT + file
URL: https://github.com/237triangle/surveynnet
NeedsCompilation: no
CRAN checks: surveynnet results

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