Evaluate a spline at provided covariate values

## Usage

```
spline_values(
smooth,
data,
model,
unconditional,
overall_uncertainty = TRUE,
frequentist = FALSE
)
```

## Arguments

- smooth
currently an object that inherits from class

`mgcv.smooth`

.- data
a data frame of values to evaluate

`smooth`

at.- model
a fitted model; currently only

`mgcv::gam()`

and`mgcv::bam()`

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

`TRUE`

, the corrected Bayesian covariance matrix will be used.- overall_uncertainty
logical; should the uncertainty in the model constant term be included in the standard error of the evaluate values of the smooth?

- frequentist
logical; use the frequentist covariance matrix?