get_parameters.zeroinfl: Get model parameters from zero-inflated and hurdle models

In insight: Easy Access to Model Information for Various Model Objects

Get model parameters from zero-inflated and hurdle models

Description

Returns the coefficients from a model.

Usage

## S3 method for class 'zeroinfl'
get_parameters(
  x,
  component = c("all", "conditional", "zi", "zero_inflated"),
  ...
)

## S3 method for class 'zcpglm'
get_parameters(
  x,
  component = c("all", "conditional", "zi", "zero_inflated"),
  ...
)

## S3 method for class 'mhurdle'
get_parameters(
  x,
  component = c("all", "conditional", "zi", "zero_inflated", "infrequent_purchase", "ip",
    "auxiliary"),
  ...
)

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

For models with smooth terms or zero-inflation component, 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)

insight documentation built on Oct. 2, 2024, 9:07 a.m.