Evaluate a spline at provided covariate values

Usage

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

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 supported.
unconditional: logical; if TRUE (and only if frequentist == FALSE) then the bayesian smoothing parameter uncertainty-corrected covariance matrix is returned, if available. Whether it is available depends on which smoothness selection method was used to fit the model.
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; if FALSE, the default, the bayesian covariance matrix is returned, otherwise the frequentist covariance matrix.