Use ggeffects::ggpredict()
to estimate marginal predictions
and return a tibble tidied in a way that it could be used by broom.helpers
functions.
See https://strengejacke.github.io/ggeffects/ for a list of supported
models.
tidy_ggpredict(x, conf.int = TRUE, conf.level = 0.95, ...)
a model
logical indicating whether or not to include a confidence interval in the tidied output
the confidence level to use for the confidence interval
additional parameters passed to ggeffects::ggpredict()
By default, ggeffects::ggpredict()
estimate marginal predictions at the
observed mean of continuous variables and at the first modality of categorical
variables (regardless of the type of contrasts used in the model).
For more information, see vignette("marginal_tidiers", "broom.helpers")
.
By default, ggeffects::ggpredict()
estimates marginal predictions for each
individual variable, regardless of eventual interactions.
Other marginal_tieders:
tidy_all_effects()
,
tidy_avg_comparisons()
,
tidy_avg_slopes()
,
tidy_marginal_contrasts()
,
tidy_marginal_means()
,
tidy_marginal_predictions()
,
tidy_margins()