Find names of model parameters
Returns the names of model parameters, like they typically
appear in the summary() output. For Bayesian models, the parameter
names equal the column names of the posterior samples after coercion
from as.data.frame(). See the documentation for your object's class:
Bayesian models (rstanarm, brms, MCMCglmm, ...)
Generalized additive models (mgcv, VGAM, ...)
Marginal effects models (mfx)
Estimated marginal means (emmeans)
Mixed models (lme4, glmmTMB, GLMMadaptive, ...)
Zero-inflated and hurdle models (pscl, ...)
Models with special components (betareg, MuMIn, ...)
find_parameters(x, ...) ## Default S3 method: find_parameters(x, flatten = FALSE, verbose = TRUE, ...)
x |
A fitted model. |
... |
Currently not used. |
flatten |
Logical, if |
verbose |
Toggle messages and warnings. |
A list of parameter names. For simple models, only one list-element,
conditional, is returned.
data(mtcars) m <- lm(mpg ~ wt + cyl + vs, data = mtcars) find_parameters(m)
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