plot.splmm: Plot the tuning results of a 'splmm.tuning' object

In splmm: Simultaneous Penalized Linear Mixed Effects Models

Description

This function inputs an splmm.tuning object and plot the model selection criterion values over the tuning parameters grid.

Usage

## S3 method for class 'splmm'
plot(x, ...)

Arguments

x	a 'splmm.tuning' object
...	not used

Value

A line plot of BIC, AIC, BICC, EBIC values against lam1 or lam2 depending on the inout.

See Also

plot.splmm

Examples

data(cognitive)

x <- model.matrix(ravens ~schoolid+treatment+year+sex+age_at_time0
                  +height+weight+head_circ+ses+mom_read+mom_write
                  +mom_edu, cognitive)
z <- x

## Tuning over lambda1 grid
lam1 = seq(0.1,0.5,0.1)
lam2 = 0.1
fit1 <-splmmTuning(x=x,y=cognitive$ravens,z=z,grp=cognitive$id,lam1=lam1,
lam2=lam2,penalty.b="scad", penalty.L="scad")
plot.splmm(fit1)

splmm documentation built on Sept. 8, 2021, 5:08 p.m.