gam.check {mgcv} | R Documentation |
Takes a fitted gam
object produced by gam()
and produces some diagnostic information
about the fitting procedure and results. The default is to produce 4 residual
plots, and some information about the convergence of the smoothness selection optimization.
gam.check(b)
b |
a fitted gam object as produced by gam() . |
This function plots 4 standard diagnostic plots, and some other convergence diagnostics. Usually the 4 plots are various residual plots. The printed information relates to the optimization used to select smoothing parameters. For the default optimization methods the information is summarized in a readable way, but for other optimization methods, whatever is returned by way of convergence diagnostics is simply printed.
Simon N. Wood simon.wood@r-project.org
Wood S.N. (2006) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.
http://www.maths.bath.ac.uk/~sw283/
library(mgcv) set.seed(0) dat <- gamSim(1,n=200) b<-gam(y~s(x0)+s(x1)+s(x2)+s(x3),data=dat) plot(b,pages=1) gam.check(b)