parametric_effects: Estimated values for parametric model terms

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

Estimated values for parametric model terms

Description

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.)

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