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#' @title Global options from the modelbased package
#' @name modelbased-options
#'
#' @section Global options to set defaults for function arguments:
#'
#' **For calculating marginal means**
#'
#' - `options(modelbased_backend = <string>)` will set a default value for the
#' `backend` argument and can be used to set the package used by default to
#' calculate marginal means. Can be `"marginaleffects"` or `"emmeans"`.
#'
#' - `options(modelbased_estimate = <string>)` will set a default value for the
#' `estimate` argument, which modulates the type of target population
#' predictions refer to.
#'
#' - `options(modelbased_integer = <value>)` will set the minimum number of
#' unique values in an integer predictor to treat that predictor as a
#' "discrete integer" or as continuous. If the integer has more than
#' `modelbased_integer` unique values, it is treated as continuous. Set to
#' `TRUE` to always treat integer predictors as continuous.
#'
#' **For printing**
#'
#' - `options(modelbased_select = <string>)` will set a default value for the
#' `select` argument and can be used to define a custom default layout for
#' printing.
#'
#' - `options(modelbased_include_grid = TRUE)` will set a default value for the
#' `include_grid` argument and can be used to include data grids in the output
#' by default or not.
#'
#' - `options(modelbased_full_labels = FALSE)` will remove redundant
#' (duplicated) labels from rows.
#'
#' **For plotting**
#'
#' - `options(modelbased_join_dots = <logical>)` will set a default value for
#' the `join_dots`.
#'
#' - `options(modelbased_numeric_as_discrete = <number>)` will set a default
#' value for the `modelbased_numeric_as_discrete` argument. Can also be
#' `FALSE`.
#'
#' - `options(modelbased_ribbon_alpha = <number>)` will set a default value for
#' the `alpha` argument of the `ribbon` geom. Should be a number between `0`
#' and `1`.
#'
#' - `options(easystats_display_format = <value>)` will set the default format
#' for the `display()` methods. Can be one of `"markdown"`, `"html"`, or
#' `"tt"`. See [`display.estimate_contrasts()`] for details.
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