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surveynnet  

Neural Network for Complex Survey Data
View on CRAN: Click here


Download and install surveynnet package within the R console
Install from CRAN:
install.packages("surveynnet")

Install from Github:
library("remotes")
install_github("cran/surveynnet")

Install by package version:
library("remotes")
install_version("surveynnet", "1.0.0")



Attach the package and use:
library("surveynnet")
Maintained by
Aaron Cohen
[Scholar Profile | Author Map]
First Published: 2024-12-09
Latest Update: 2024-12-09
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), <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>).
How to cite:
Aaron Cohen (2024). surveynnet: Neural Network for Complex Survey Data. R package version 1.0.0, https://cran.r-project.org/web/packages/surveynnet. Accessed 21 Feb. 2025.
Previous versions and publish date:
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Complete documentation for surveynnet
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