Get model parameters from zero-inflated and hurdle models
Returns the coefficients from a model.
## 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"),
...
)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. |
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.
data(mtcars) m <- lm(mpg ~ wt + cyl + vs, data = mtcars) get_parameters(m)
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