Global options from the modelbased package

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.
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.

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(modelbased_tinyplot_dodge = <number>) will set a default value for the dodge argument (spacing between geoms) when using tinyplot::plt(). Should be a number between 0 and 1.