
Get model parameters from marginal effects models
Source:R/get_parameters_mfx.R
get_parameters.betamfx.Rd
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