Summary method for average marginal effects

Creates a summary object that produces the detailed AME table (estimate, delta-method SE, z, p, confidence interval) when printed.

Usage

# S3 method for class 'marginal_effects'
summary(object, effects = TRUE, digits = 3, ...)

Arguments

object

A marginal_effects result object.

effects

Logical. Show the AME table? (Default: TRUE)

digits

Number of decimal places for formatting (Default: 3).

...

Additional arguments (not used).

Value

A summary.marginal_effects object.

See also

marginal_effects for the main analysis function.

Examples

survey_data$high_satisfaction <- as.integer(survey_data$life_satisfaction >= 4)
model <- logistic_regression(survey_data, high_satisfaction ~ age + income)
summary(marginal_effects(model))
#> 
#> Average Marginal Effects Results
#> --------------------------------
#> - Formula: high_satisfaction ~ age + income
#> - Scale: Predicted probability
#> - Std. errors: Delta method
#> - N: 2115
#> 
#>   --------------------------------------------------------------------------
#>   Term         AME        SE       z      p  95% CI Lower  95% CI Upper     
#>   --------------------------------------------------------------------------
#>   age     2.41e-04     0.001   0.417   .677        -0.001         0.001     
#>   income  1.43e-04  6.51e-06  22.019  <.001      1.31e-04      1.56e-04  ***
#>   --------------------------------------------------------------------------
#> 
#> Factor rows show the average discrete change vs. the reference level.
#> 
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05