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Global options from the modelbased package

Source: R/options.R
modelbased-options.Rd

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.

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.