In nskaff/dev.expl.mgcv: Partial deviation explained calculations for mgcv gam models

dev.expl.mgcv

This package calculates the deviation explained for individual covariates in a generalized additive model (gam) from the 'mgcv' R package such that the calculated values aren't dependent on order of covariate removal.

Getting Started

Use "devtools" R package to install on your local machine.

Prerequisites

You will need an understanding of the 'mgcv' package to run the included functions.

Code Example

library(mgcv)
library(dev.expl.mgcv)
#adapted from mgcv documentation
set.seed(2) ## simulate some data... 
dat <- gamSim(1,n=400,dist="normal",scale=2)
b <- gam(y~1+x0+s(x0, k=4)+ti(x2, x3, k=4),data=dat)
model.list.output<-model.list(covariates = c("x0","s(x0, k=4)",
"ti(x2, x3, k=4)"), response="y~1")
dev.expl.calcs(model.list.output, data=dat, select = TRUE,family = gaussian())