insight (version 0.17.0)

get_varcov: Get variance-covariance matrix from models

Description

Returns the variance-covariance, as retrieved by stats::vcov(), but works for more model objects that probably don't provide a vcov()-method.

Usage

get_varcov(x, ...)
# S3 method for default
get_varcov(x, verbose = TRUE, ...)
# S3 method for betareg
get_varcov(
  x,
  component = c("conditional", "precision", "all"),
  verbose = TRUE,
  ...
)
# S3 method for DirichletRegModel
get_varcov(
  x,
  component = c("conditional", "precision", "all"),
  verbose = TRUE,
  ...
)
# S3 method for clm2
get_varcov(x, component = c("all", "conditional", "scale"), ...)
# S3 method for truncreg
get_varcov(x, component = c("conditional", "all"), ...)
# S3 method for gamlss
get_varcov(x, component = c("conditional", "all"), ...)
# S3 method for hurdle
get_varcov(x, component = c("conditional", "zero_inflated", "zi", "all"), ...)
# S3 method for zcpglm
get_varcov(x, component = c("conditional", "zero_inflated", "zi", "all"), ...)
# S3 method for glmmTMB
get_varcov(
  x,
  component = c("conditional", "zero_inflated", "zi", "dispersion", "all"),
  ...
)
# S3 method for MixMod
get_varcov(
  x,
  effects = c("fixed", "random"),
  component = c("conditional", "zero_inflated", "zi", "dispersion", "auxiliary", "all"),
  robust = FALSE,
  verbose = TRUE,
  ...
)
# S3 method for brmsfit
get_varcov(x, component = "conditional", ...)
# S3 method for betamfx
get_varcov(x, component = c("conditional", "precision", "all"), ...)
# S3 method for aov
get_varcov(x, complete = FALSE, ...)
# S3 method for mixor
get_varcov(x, effects = c("all", "fixed", "random"), ...)

Arguments

x

A model.

...

Currently not used.

verbose

Toggle warnings.

component

Should the complete variance-covariance matrix of the model be returned, or only for specific model components only (like count or zero-inflated model parts)? Applies to models with zero-inflated component, or models with precision (e.g. betareg) component. component may be one of "conditional", "zi", "zero-inflated", "dispersion", "precision", or "all". May be abbreviated. Note that the conditional component is also called count or mean component, depending on the model.

effects

Should the complete variance-covariance matrix of the model be returned, or only for specific model parameters only? Currently only applies to models of class mixor.

robust

Logical, if TRUE, returns a robust variance-covariance matrix using sandwich estimation.

complete

Logical, if TRUE, for aov, returns the full variance-covariance matrix.

Value

The variance-covariance matrix, as matrix-object.

Examples

# NOT RUN {
data(mtcars)
m <- lm(mpg ~ wt + cyl + vs, data = mtcars)
get_varcov(m)
# }