Inputs an object created by `fpcr`

, and plots the estimated
coefficient function.

```
# S3 method for fpcr
plot(
x,
se = TRUE,
col = 1,
lty = c(1, 2, 2),
xlab = "",
ylab = "Coefficient function",
...
)
```

x

an object of class `"fpcr"`

.

se

if `TRUE`

(the default), upper and lower lines are added at
2 standard errors (in the Bayesian sense; see Wood, 2006) above and below
the coefficient function estimate. If a positive number is supplied, the
standard error is instead multiplied by this number.

col

color for the line(s). This should be either a number, or a vector of length 3 for the coefficient function estimate, lower bound, and upper bound, respectively.

lty

line type(s) for the coefficient function estimate, lower bound, and upper bound.

xlab, ylab

x- and y-axis labels.

…

other arguments passed to the underlying plotting function.

None; only a plot is produced.

Wood, S. N. (2006). *Generalized Additive Models: An
Introduction with R*. Boca Raton, FL: Chapman & Hall.

`fpcr`

, which includes an example.