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MARSANNhybrid
View on CRAN: Click
here
Download and install MARSANNhybrid package within the R console
Install from CRAN:
install.packages("MARSANNhybrid")
Install from Github:
library("remotes")
install_github("cran/MARSANNhybrid")
Install by package version:
library("remotes")
install_version("MARSANNhybrid", "0.1.0")
Attach the package and use:
library("MARSANNhybrid")
Maintained by
Pankaj Das
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.MARSANNhybrid . MARSANNhybrid results . MARSANNhybrid.pdf . MARSANNhybrid_0.1.0.tar.gz . MARSANNhybrid_0.1.0.zip . MARSANNhybrid_0.1.0.zip . MARSANNhybrid_0.1.0.zip . MARSANNhybrid_0.1.0.tgz . MARSANNhybrid_0.1.0.tgz . MARSANNhybrid_0.1.0.tgz . MARSANNhybrid_0.1.0.tgz . https://CRAN.R-project.org/package=MARSANNhybrid .
First Published: 2021-01-14
Latest Update: 2021-01-14
Description:
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.
How to cite:
Pankaj Das (2021). MARSANNhybrid: MARS Based ANN Hybrid Model. R package version 0.1.0, https://cran.r-project.org/web/packages/MARSANNhybrid. Accessed 09 May. 2025.
Previous versions and publish date:
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Complete documentation for MARSANNhybrid
Functions, R codes and Examples using
the MARSANNhybrid R package
Some associated functions: MARSANNhybrid .
Some associated R codes: MARSANNhybrid.R . Full MARSANNhybrid package functions and examples
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