modelbased-options: Global options from the modelbased package

In modelbased: Estimation of Model-Based Predictions, Contrasts and Means

Global options from the modelbased package

Description

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.

• ⁠options(easystats_ci_separator = <value>)⁠ defines the separator string used between the lower and upper CI limits. Defaults to ", ", resulting in an output like ⁠[0.3, 0.8]⁠.

• ⁠options(easystats_ci_brackets = <value>)⁠ determines whether brackets or parentheses are used to enclose formatted CIs. Can be FALSE to omit them, TRUE to include them (defaults to [ and ⁠]⁠ for text output), or a character vector of length 2 to define custom opening and closing symbols (e.g., c("(", ")")).

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.

modelbased documentation built on Aug. 28, 2026, 5:07 p.m.