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.tar.gz(r-4.5-noble)MARSANNhybrid_0.1.0.tar.gz(r-4.4-noble)
MARSANNhybrid_0.1.0.tgz(r-4.4-emscripten)MARSANNhybrid_0.1.0.tgz(r-4.3-emscripten)
MARSANNhybrid.pdf |MARSANNhybrid.html
MARSANNhybrid/json (API)

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

Peer review:

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

1.00 score 90 downloads 1 exports 7 dependencies

Last updated 4 years agofrom:60f3e6a477. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-linuxOKOct 29 2024

Exports:MARSANNhybrid

Dependencies:DerivearthFormulaMASSneuralnetplotmoplotrix