Find names of model parametersSource:
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
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, ...) # S3 method for default find_parameters(x, flatten = FALSE, verbose = TRUE, ...)
A fitted model.
Currently not used.
TRUE, the values are returned as character vector, not as list. Duplicated values are removed.
Toggle messages and warnings.
A list of parameter names. For simple models, only one list-element,
conditional, is returned.