Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models

Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of 'gam()' and 'bam()' in 'mgcv' package, applying the algorithm in this paper: Lai(2024) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("gam.hp")

0.0-5 by Jiangshan Lai, a year ago


https://github.com/laijiangshan/gam.hp


Browse source code at https://github.com/cran/gam.hp


Authors: Jiangshan Lai [aut, cre] (ORCID: , Jing Tang [aut]


Documentation:   PDF Manual  


GPL license


Depends on mgcv, ggplot2


See at CRAN