Estimated values for parametric model terms
parametric_effects(object, ...)# S3 method for gam
parametric_effects(
object,
terms = NULL,
data = NULL,
unconditional = FALSE,
unnest = TRUE,
ci_level = 0.95,
envir = environment(formula(object)),
transform = FALSE,
...
)
a fitted model object.
arguments passed to other methods.
character; which model parametric terms should be drawn? The
Default of NULL will plot all parametric terms that can be drawn.
a optional data frame that may or may not be used? FIXME!
logical; should confidence intervals include the
uncertainty due to smoothness selection? If TRUE, the corrected Bayesian
covariance matrix will be used.
logical; unnest the parametric effect objects?
numeric; the coverage required for the confidence interval. Currently ignored.
an environment to look up the data within.
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.)