Get model parameters from models with special components
Returns the coefficients from a model.
## S3 method for class 'betareg'
get_parameters(
x,
component = c("all", "conditional", "precision", "location", "distributional",
"auxiliary"),
...
)
## S3 method for class 'DirichletRegModel'
get_parameters(
x,
component = c("all", "conditional", "precision", "location", "distributional",
"auxiliary"),
...
)
## S3 method for class 'averaging'
get_parameters(x, component = c("conditional", "full"), ...)
## S3 method for class 'glmx'
get_parameters(
x,
component = c("all", "conditional", "extra", "location", "distributional",
"auxiliary"),
...
)
## S3 method for class 'clm2'
get_parameters(x, component = c("all", "conditional", "scale"), ...)
## S3 method for class 'mvord'
get_parameters(
x,
component = c("all", "conditional", "thresholds", "correlation"),
...
)
## S3 method for class 'mjoint'
get_parameters(x, component = c("all", "conditional", "survival"), ...)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. |
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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