scam (version 1.2-5)

scam.check: Some diagnostics for a fitted scam object

Description

Takes a fitted scam object produced by scam() and produces some diagnostic information about the fitting procedure and results. This function is almost the same as gam.check of the mgcv library.

Usage

scam.check(b,rl.col=3,... )

Arguments

b

a fitted scam object as produced by scam().

rl.col

color for the reference line on the quantile-quantile plot.

...

extra graphics parameters to pass to plotting functions.

Details

As for mgcv(gam) plots 4 standard diagnostic plots, and some other convergence diagnostics. The printed information relates to the optimization process used to select smoothing parameters.

References

Wood S.N. (2006) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.

See Also

scam

Examples

# NOT RUN {
 
# }
# NOT RUN {
library(scam)
set.seed(2)
n <- 200
x1 <- runif(n)*4-1;
f1 <- exp(4*x1)/(1+exp(4*x1)) # monotone increasing smooth
x2 <- runif(n)*3-1;
f2 <- exp(-3*x2)/15  # monotone decreasing and convex smooth
f <- f1+f2
y <- f+ rnorm(n)*0.2
dat <- data.frame(x1=x1,x2=x2,y=y)
b <- scam(y~ s(x1,k=25,bs="mpi",m=2)+s(x2,k=25,bs="mdcx",m=2),
    family=gaussian(link="identity"),data=dat)
plot(b,pages=1)
scam.check(b,pch=19,cex=.3)
 
# }