spline_values: Evaluate a spline at provided covariate values

In gavinsimpson/gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

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?

gavinsimpson/gratia documentation built on May 4, 2024, 8:13 a.m.