vipscore: Variable importance in projection
In jialiwang1211/groupPLS: Two-step group penalized partial least squares regression

Compute variable importance in projection scores (VIP) for response variables.

1	vipscore(groupPLS.obj, y)

`groupPLS.obj`	the object from fitting `groupPLS`.
`y`	data frame contains response variables.

Variable importance in projection scores for response variables.

vip<-vipscore(groupPLS.obj=rs,y=ytrain)
par(mfrow=c(3,1))
for (i in 1:3){
plot(vip[,i],type="h")
}

jialiwang1211/groupPLS documentation built on Feb. 17, 2020, 12:35 a.m.

jialiwang1211/groupPLS index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description