Find names of model predictorsSource:
Returns the names of the predictor variables for the
different parts of a model (like fixed or random effects, zero-inflated
component, ...). Unlike
find_parameters(), the names from
find_predictors() match the original variable names from the data
that was used to fit the model.
A fitted model.
Currently not used.
Should variables for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated.
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.
TRUE, the values are returned as character vector, not as list. Duplicated values are removed.
A list of character vectors that represent the name(s) of the
predictor variables. Depending on the combination of the arguments
component, the returned list has following
conditional, the "fixed effects" terms from the model
random, the "random effects" terms from the model
zero_inflated, the "fixed effects" terms from the zero-inflation component of the model
zero_inflated_random, the "random effects" terms from the zero-inflation component of the model
dispersion, the dispersion terms
instruments, for fixed-effects regressions like
plm, the instrumental variables
correlation, for models with correlation-component like
gls, the variables used to describe the correlation structure
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.