Package: surveynnet 1.0.0

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
surveynnet_1.0.0.zip(r-4.7-any)surveynnet_1.0.0.zip(r-4.6-any)surveynnet_1.0.0.zip(r-4.5-any)
surveynnet_1.0.0.tgz(r-4.6-any)surveynnet_1.0.0.tgz(r-4.5-any)
surveynnet_1.0.0.tar.gz(r-4.7-any)surveynnet_1.0.0.tar.gz(r-4.6-any)
surveynnet_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
surveynnet/json (API)

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

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

Datasets:

On CRAN:

Conda:

2.00 score 23 downloads 1 exports 45 dependencies

Last updated from:0887c40919. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR131
source / vignettesOK623
linux-releaseERROR166
macos-releaseERROR103
macos-oldrelERROR146
windows-develERROR88
windows-releaseERROR145
windows-oldrelERROR76
wasm-releaseOK142

Exports:surveynnet

Dependencies:classclassIntclicpp11DBIdplyre1071farvergenericsgeosphereggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixnnetpillarpkgconfigPracToolsproxyR6RColorBrewerRcpprlangs2S7scalessfsurvivaltibbletidyselectunitsusmapusmapdatautf8vctrsviridisLitewithrwk