scb is implemented as a front-end to locfit,
to compute simultaneous confidence bands using the tube formula
method and extensions, based on Sun and Loader (1994).
Usage
scb(x, ..., ev = lfgrid(20), simul = TRUE, type = 1)
Arguments
x
A numeric vector or matrix of predictors (as in
locfit.raw), or a model formula (as in
locfit).
Type of confidence bands. type=0 computes pointwise
95% bands. type=1 computes basic simultaneous bands with no
corrections. type=2,3,4 are the centered and corrected bands
for parametric regression models list
Value
A list containing the evaluation points, fit, standard deviations and upper
and lower confidence bounds. The class is "scb"; methods for
printing and ploting are provided.
References
Sun J. and Loader, C. (1994).
Simultaneous confidence bands in linear regression and smoothing.
The Annals of Statistics 22, 1328-1345.
Sun, J., Loader, C. and McCormick, W. (2000).
Confidence bands in generalized linear models.
The Annals of Statistics 28, 429-460.
# corrected confidence bands for a linear logistic modeldata(insect)
fit <- scb(deaths~lp(lconc,deg=1), type=4, w=nins,
data=insect,family="binomial",kern="parm")
plot(fit)