Find names of model parameters from mixed models
Returns the names of model parameters, like they typically
appear in the summary() output.
## S3 method for class 'glmmTMB'
find_parameters(
x,
effects = c("all", "fixed", "random"),
component = c("all", "conditional", "zi", "zero_inflated", "dispersion"),
flatten = FALSE,
...
)
## S3 method for class 'merMod'
find_parameters(x, effects = c("all", "fixed", "random"), flatten = FALSE, ...)x |
A fitted model. |
effects |
Should parameters for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated. |
component |
Which type of parameters to return, such as parameters for the
conditional model, the zero-inflated part of the model or the dispersion
term? Applies to models with zero-inflated and/or dispersion formula. Note
that the conditional component is also called count or mean
component, depending on the model. There are three convenient shortcuts:
|
flatten |
Logical, if |
... |
Currently not used. |
A list of parameter names. The returned list may have following elements:
conditional, the "fixed effects" part from the model.
random, the "random effects" part from the model.
zero_inflated, the "fixed effects" part from the zero-inflation component of the model.
zero_inflated_random, the "random effects" part from the zero-inflation component of the model.
dispersion, the dispersion parameters (auxiliary parameter)
data(mtcars) m <- lm(mpg ~ wt + cyl + vs, data = mtcars) find_parameters(m)
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