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relgam  

Reluctant Generalized Additive Models
View on CRAN: Click here


Download and install relgam package within the R console
Install from CRAN:
install.packages("relgam")

Install from Github:
library("remotes")
install_github("cran/relgam")

Install by package version:
library("remotes")
install_version("relgam", "1.0")



Attach the package and use:
library("relgam")
Maintained by
Kenneth Tay
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-13
Latest Update: 2020-01-13
Description:
A method for fitting the entire regularization path of the reluctant generalized additive model (RGAM) for linear regression, logistic, Poisson and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019) for details.
How to cite:
Kenneth Tay (2020). relgam: Reluctant Generalized Additive Models. R package version 1.0, https://cran.r-project.org/web/packages/relgam. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited relgam R package
View relgam citation profile
Other R packages that relgam depends, imports, suggests or enhances
Complete documentation for relgam
Functions, R codes and Examples using the relgam R package
Some associated functions: cv.rgam . getf . makef . myroc . plot.cv.rgam . plot.rgam . predict.cv.rgam . predict.rgam . print.cv.rgam . print.rgam . rgam . summary.rgam . 
Some associated R codes: cv.rgam.R . getf.R . helper.R . makef.R . myroc.R . plot.cv.rgam.R . plot.rgam.R . predict.cv.rgam.R . predict.rgam.R . print.cv.rgam.R . print.rgam.R . rgam.R . summary.rgam.R .  Full relgam package functions and examples
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