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, ...) # S3 method for pgmm find_parameters(x, component = c("conditional", "all"), flatten = FALSE, ...) # S3 method for nls find_parameters( x, component = c("all", "conditional", "nonlinear"), flatten = FALSE, ... )
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.
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.
A list of parameter names. For simple models, only one list-element,
conditional, is returned.
Possible values for the
component argument depend on the model class.
Following are valid options:
"all": returns all model components, applies to all models, but will only have an effect for models with more than just the conditional model component.
"conditional": only returns the conditional component, i.e. "fixed effects" terms from the model. Will only have an effect for models with more than just the conditional model component.
"smooth_terms": returns smooth terms, only applies to GAMs (or similar models that may contain smooth terms).
"zi"): returns the zero-inflation component.
"dispersion": returns the dispersion model component. This is common for models with zero-inflation or that can model the dispersion parameter.
"instruments": for instrumental-variable or some fixed effects regression, returns the instruments.
"location": returns location parameters such as
instruments(everything that are fixed or random effects - depending on the
effectsargument - but no auxiliary parameters).
"auxiliary"): components like
precision(and other auxiliary parameters) are returned.