spline_values {gratia}

Evaluate a spline at provided covariate values

Description

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?