Other packages > Find by keyword >

neuralGAM  

Interpretable Neural Network Based on Generalized Additive Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("neuralGAM", "2.0.1")



Attach the package and use:
library("neuralGAM")
Maintained by
Ines Ortega-Fernandez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-07
Latest Update: 2024-04-19
Description:
Neural network framework based on Generalized Additive Models from Hastie & Tibshirani (1990, ISBN:9780412343902), which trains a different neural network to estimate the contribution of each feature to the response variable. The networks are trained independently leveraging the local scoring and backfitting algorithms to ensure that the Generalized Additive Model converges and it is additive. The resultant Neural Network is a highly accurate and interpretable deep learning model, which can be used for high-risk AI practices where decision-making should be based on accountable and interpretable algorithms.
How to cite:
Ines Ortega-Fernandez (2023). neuralGAM: Interpretable Neural Network Based on Generalized Additive Models. R package version 2.0.1, https://cran.r-project.org/web/packages/neuralGAM. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2023-09-07 17:50), 1.1.0 (2023-09-20 20:20), 1.1.1 (2024-04-19 19:42), 2.0.0 (2025-10-08 17:50)
Other packages that cited neuralGAM R package
View neuralGAM citation profile
Other R packages that neuralGAM depends, imports, suggests or enhances
Complete documentation for neuralGAM
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA