`peer()`

Plots the estimate of components of estimated regression function obtained
from a `peer`

object along with pointwise confidence bands.

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

x

object of class `"peer"`

.

conf

pointwise confidence level.

ylab

y-axis label.

main

title for the plot.

...

additional arguments passed to `plot`

.

Pointwise confidence interval is displayed only if the user set `se=T`

in the call to `peer`

, and does not reflect any multiplicity
correction.

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.

`peer`

, `lpeer`

, `plot.lpeer`

# NOT RUN { # See example in peer() # }