Get model parameters from marginal effects models — get

Returns the coefficients from a model.

Usage

# S3 method for betamfx
get_parameters(
  x,
  component = c("all", "conditional", "precision", "marginal"),
  ...
)

# S3 method for logitmfx
get_parameters(x, component = c("all", "conditional", "marginal"), ...)

Arguments

x: A fitted model.
component: Should all predictor variables, predictor variables for the conditional model, the zero-inflated part of the model, the dispersion term or the instrumental variables be returned? Applies to models with zero-inflated and/or dispersion formula, or to models with instrumental variable (so called fixed-effects regressions). May be abbreviated. Note that the conditional component is also called count or mean component, depending on the model.
...: Currently not used.

Value

A data frame with three columns: the parameter names, the related point estimates and the component.

Examples

data(mtcars)
m <- lm(mpg ~ wt + cyl + vs, data = mtcars)
get_parameters(m)
#>     Parameter   Estimate
#> 1 (Intercept) 38.7460642
#> 2          wt -3.2463673
#> 3         cyl -1.3641033
#> 4          vs  0.5241721