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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.

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.

See Also

peer, lpeer, plot.lpeer

Examples

# See example in peer()

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

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