Returns the coefficients (or posterior samples for Bayesian models) from a model. See the documentation for your object's class:

Bayesian models (rstanarm, brms, MCMCglmm, ...)

Estimated marginal means (emmeans)

Generalized additive models (mgcv, VGAM, ...)

Marginal effects models (mfx)

Mixed models (lme4, glmmTMB, GLMMadaptive, ...)

Zero-inflated and hurdle models (pscl, ...)

Models with special components (betareg, MuMIn, ...)

Hypothesis tests (

`htest`

)

## Value

for non-Bayesian models, a data frame with two columns: the parameter names and the related point estimates.

for Anova (

`aov()`

) with error term, a list of parameters for the conditional and the random effects parameters

## Details

In most cases when models either return different "effects" (fixed,
random) or "components" (conditional, zero-inflated, ...), the arguments
`effects`

and `component`

can be used.
`get_parameters()`

is comparable to `coef()`

, however, the coefficients
are returned as data frame (with columns for names and point estimates of
coefficients). For Bayesian models, the posterior samples of parameters are
returned.

## Model components

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).`"zero_inflated"`

(or`"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`conditional`

,`zero_inflated`

,`smooth_terms`

, or`instruments`

(everything that are fixed or random effects - depending on the`effects`

argument - but no auxiliary parameters).`"distributional"`

(or`"auxiliary"`

): components like`sigma`

,`dispersion`

,`beta`

or`precision`

(and other auxiliary parameters) are returned.