find_parameters.averaging: Find model parameters from models with special components

In insight: Easy Access to Model Information for Various Model Objects

Find model parameters from models with special components

Description

Returns the names of model parameters, like they typically appear in the summary() output.

Usage

## S3 method for class 'averaging'
find_parameters(x, component = c("conditional", "full"), flatten = FALSE, ...)

## S3 method for class 'glmgee'
find_parameters(
  x,
  component = c("all", "conditional", "dispersion"),
  flatten = FALSE,
  ...
)

## S3 method for class 'betareg'
find_parameters(
  x,
  component = c("all", "conditional", "precision", "location", "distributional",
    "auxiliary"),
  flatten = FALSE,
  ...
)

## S3 method for class 'DirichletRegModel'
find_parameters(
  x,
  component = c("all", "conditional", "precision", "location", "distributional",
    "auxiliary"),
  flatten = FALSE,
  ...
)

## S3 method for class 'mjoint'
find_parameters(
  x,
  component = c("all", "conditional", "survival"),
  flatten = FALSE,
  ...
)

## S3 method for class 'glmx'
find_parameters(
  x,
  component = c("all", "conditional", "extra"),
  flatten = FALSE,
  ...
)

Arguments

x	A fitted model.
component	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.
flatten	Logical, if TRUE, the values are returned as character vector, not as list. Duplicated values are removed.
...	Currently not used.

Value

A list of parameter names. The returned list may have following elements:

• conditional, the "fixed effects" part from the model.

• full, parameters from the full model.

Examples

data(mtcars)
m <- lm(mpg ~ wt + cyl + vs, data = mtcars)
find_parameters(m)

insight documentation built on Oct. 2, 2024, 9:07 a.m.