Estimated values for parametric model terms

## Usage

```
parametric_effects(object, ...)
# S3 method for class 'gam'
parametric_effects(
object,
terms = NULL,
data = NULL,
unconditional = FALSE,
unnest = TRUE,
ci_level = 0.95,
envir = environment(formula(object)),
transform = FALSE,
...
)
```

## Arguments

- object
a fitted model object.

- ...
arguments passed to other methods.

- terms
character; which model parametric terms should be drawn? The Default of

`NULL`

will plot all parametric terms that can be drawn.- data
a optional data frame that may or may not be used? FIXME!

- unconditional
logical; should confidence intervals include the uncertainty due to smoothness selection? If

`TRUE`

, the corrected Bayesian covariance matrix will be used.- unnest
logical; unnest the parametric effect objects?

- ci_level
numeric; the coverage required for the confidence interval. Currently ignored.

- envir
an environment to look up the data within.

- transform
logical; if

`TRUE`

, the parametric effect will be plotted on its transformed scale which will result in the effect being a straight line. If FALSE, the effect will be plotted against the raw data (i.e. for`log10(x)`

, or`poly(z)`

, the x-axis of the plot will be`x`

or`z`

respectively.)