refund: plot.lpeer – R documentation

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plot.lpeer

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 mgkundu@iupui.edu

References

Kundu, M. G., Harezlak, J., and Randolph, T. W. (2012). Longitudinal functional models with structured penalties. (Please contact J. Harezlak at harezlak@iupui.edu.)

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.

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

Regression with Functional Data

v0.1-23

GPL (>= 2)

Authors

Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb]

Initial release

2020-12-03