Package: surveynnet 1.0.0

Aaron Cohen

surveynnet: Neural Network for Complex Survey Data

The surveynnet package extends the functionality of nnet (Venables and Ripley, 2002), 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 in the calculations, performed by the package described in Valliant et al. (2023), by following the methods outlined by Chen and Rust (2017) and Valliant et al. (2018).

Authors:Aaron Cohen [aut, cre], Raul Cruz-Cano [aut]

surveynnet_1.0.0.tar.gz
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surveynnet_1.0.0.tgz(r-4.4-any)surveynnet_1.0.0.tgz(r-4.3-any)
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surveynnet.pdf |surveynnet.html
surveynnet/json (API)

# Install 'surveynnet' in R:
install.packages('surveynnet', repos = c('https://237triangle.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/237triangle/surveynnet/issues

Datasets:

On CRAN:

2.95 score 1 exports 49 dependencies

Last updated 2 months agofrom:0887c40919. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-winERRORDec 10 2024
R-4.5-linuxERRORDec 10 2024
R-4.4-winERRORDec 10 2024
R-4.4-macERRORDec 10 2024
R-4.3-winERRORDec 10 2024
R-4.3-macERRORDec 10 2024

Exports:surveynnet

Dependencies:classclassIntclicolorspaceDBIdplyre1071fansifarvergenericsgeosphereggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigPracToolsproxyR6RColorBrewerRcpprlangs2scalessfspsurvivaltibbletidyselectunitsusmapusmapdatautf8vctrsviridisLitewithrwk