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