Package: MARSANNhybrid 0.1.0

Pankaj Das

MARSANNhybrid: MARS Based ANN Hybrid Model

Multivariate Adaptive Regression Spline (MARS) based Artificial Neural Network (ANN) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits ANN on the extracted important variables.

Authors:Pankaj Das [aut, cre], Achal Lama [aut], Girish Kumar Jha [aut]

MARSANNhybrid_0.1.0.tar.gz
MARSANNhybrid_0.1.0.zip(r-4.7-any)MARSANNhybrid_0.1.0.zip(r-4.6-any)
MARSANNhybrid_0.1.0.tar.gz(r-4.7-any)MARSANNhybrid_0.1.0.tar.gz(r-4.6-any)
MARSANNhybrid_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MARSANNhybrid/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 219 downloads 1 exports 8 dependencies

Last updated from:60f3e6a477. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK129
source / vignettesOK156
linux-releaseOK113
windows-develOK52
windows-releaseOK63
wasm-releaseOK116

Exports:MARSANNhybrid

Dependencies:DerivearthFormulaMASSneuralnetplotmoplotrixRcpp