refund (version 0.1-1)

plot.peer: Plotting of estimated regression functions obtained through peer()

Description

Plots the estimate of components of estimated regression function obtained from a peer object along with pointwise confidence bands.

Usage

## S3 method for class 'peer':
plot(x, conf=0.95, ylab='Estimated regression function', main=expression(gamma), ...)

Arguments

x

object of class "peer".

conf

pointwise confidence level.

ylab

y-axis label.

main

title for the plot.

...

additional arguments passed to plot.

Details

Pointwise confidence interval is displayed only if the user set se=T in the call to peer, and does not reflect any multiplicity correction.

References

Kundu, M. G., Harezlak, J., and Randolph, T. W. (2012). Longitudinal functional models with structured penalties. (Please contact J. Harezlak at [e-mail].) Randolph, T. W., Harezlak, J, and Feng, Z. (2012). Structured penalties for functional linear models - partially empirical eigenvectors for regression. Electronic Journal of Statistics, 6, 323--353.

See Also

peer, lpeer, plot.lpeer

Examples

data(DTI)
cca = DTI$cca[which(DTI$case == 1),]
DTI = DTI[which(DTI$case == 1),]
fit.cca.peer1 = peer(Y=DTI$pasat, funcs = cca)
plot(fit.cca.peer1)