`find_parameters.Rd`

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()`

.

find_parameters(x, ...) # S3 method for gam find_parameters(x, component = c("all", "conditional", "smooth_terms"), flatten = FALSE, ...) # S3 method for merMod find_parameters(x, effects = c("all", "fixed", "random"), flatten = FALSE, ...) # S3 method for zeroinfl find_parameters(x, component = c("all", "conditional", "zi", "zero_inflated"), flatten = FALSE, ...) # S3 method for hurdle find_parameters(x, component = c("all", "conditional", "zi", "zero_inflated"), flatten = FALSE, ...) # S3 method for brmsfit find_parameters(x, effects = c("all", "fixed", "random"), component = c("all", "conditional", "zi", "zero_inflated", "dispersion", "simplex", "sigma", "smooth_terms"), flatten = FALSE, parameters = NULL, ...) # S3 method for stanreg find_parameters(x, effects = c("all", "fixed", "random"), component = c("all", "conditional", "smooth_terms"), flatten = FALSE, parameters = NULL, ...) # S3 method for sim.merMod find_parameters(x, effects = c("all", "fixed", "random"), flatten = FALSE, parameters = NULL, ...)

x | A fitted model. |
---|---|

... | Currently not used. |

component | Should all parameters, parameters 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. |

flatten | Logical, if |

effects | Should parameters for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated. |

parameters | Regular expression pattern that describes the parameters that should be returned. |

A list of parameter names. For simple models, only one list-element,
`conditional`

, is returned. For more complex models, the returned
list may have following elements:

`conditional`

, the "fixed effects" part from the model`random`

, the "random effects" part from the model`zero_inflated`

, the "fixed effects" part from the zero-inflation component of the model`zero_inflated_random`

, the "random effects" part from the zero-inflation component of the model`dispersion`

, the dispersion parameters`simplex`

, simplex parameters of monotonic effects (brms only)`smooth_terms`

, the smooth parameters

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

and `component`

can be used. Not all model classes that
support these arguments are listed here in the 'Usage' section.

#> $conditional #> [1] "(Intercept)" "wt" "cyl" "vs" #>