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.)