splmm (version 1.1.2)

plot3D.splmm: 3D Plot the tuning results of a 'splmm.tuning' object when tuning over both lambda 1 and lambda 2 grids

Description

This function inputs an 'splmm.tuning' object and plot the model selection criterion values in a 3D plot over the lambda 1 and lambda 2 tuning parameters grid.

Usage

# S3 method for splmm
plot3D(x, criteria=c("BIC","AIC","BBIC","EBIC"),type=c("line","surface"),...)

Arguments

x

a 'splmm.tuning' object with both lam1.tuning=TRUE and lam2.tuning=TRUE

criteria

A parameter specifying whether the criteria value the user want to plot is BIC, AIC, BBIC or EBIC. The default is BIC

type

A parameter specifying which type of 3D plot to use for plotting. Currently the available options include line plot and surface plot. The default is surface plot.

…

not used

See Also

plot3D

Examples

# NOT RUN {
# }
# NOT RUN {
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 and lambda2 grid
lam1 = seq(0.1,0.5,0.1)
lam2 = seq(0.1,0.5,0.1)
fit1 <-splmmTuning(x=x,y=cognitive$ravens,z=z,grp=cognitive$id,lam1=lam1,
lam2=lam2,penalty.b="scad", penalty.L="scad")
plot3D(fit1)
# }
# NOT RUN {
# }