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surveynnet (version 1.0.0)

Neural Network for Complex Survey Data

Description

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), , and performed by 'deffCR' in the package 'PracTools' (Valliant, Dever, and Kreuter (2018), ).

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Install

install.packages('surveynnet')

Monthly Downloads

113

Version

1.0.0

License

MIT + file LICENSE

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Maintainer

Aaron Cohen

Last Published

December 9th, 2024

Functions in surveynnet (1.0.0)

predict.surveynnet

Predict response from fitted nnet, using new data
body_fat

Simple body fat example data
surveynnet

Neural Net for Complex Survey Data
nhanes.demo

Nhanes example