plot.lpeer: Plotting of estimated regression functions obtained through...

In refund: Regression with Functional Data

Plotting of estimated regression functions obtained through lpeer()

Description

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

Usage

## S3 method for class 'lpeer'
plot(x, conf = 0.95, ...)

Arguments

x	object of class "lpeer".
conf	pointwise confidence level.
...	additional arguments passed to plot.

Details

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

Author(s)

Madan Gopal Kundu [e-mail]

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.peer

Examples

## Not run: 
data(DTI)
cca = DTI$cca[which(DTI$case == 1),]
DTI = DTI[which(DTI$case == 1),]
fit.cca.lpeer1 = lpeer(Y=DTI$pasat, t=DTI$visit, subj=DTI$ID, funcs = cca)
plot(fit.cca.lpeer1)

## End(Not run)

refund documentation built on Nov. 14, 2023, 5:07 p.m.