# Get model parameters from zero-inflated and hurdle models

Source:`R/get_parameters_zi.R`

`get_parameters.zeroinfl.Rd`

Returns the coefficients from a model.

## Usage

```
# S3 method for zeroinfl
get_parameters(
x,
component = c("all", "conditional", "zi", "zero_inflated"),
...
)
# S3 method for zcpglm
get_parameters(
x,
component = c("all", "conditional", "zi", "zero_inflated"),
...
)
# S3 method for 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)
#> Parameter Estimate
#> 1 (Intercept) 38.7460642
#> 2 wt -3.2463673
#> 3 cyl -1.3641033
#> 4 vs 0.5241721
```