Returns the variance-covariance, as retrieved by
stats::vcov()
, but works for more model objects that probably
don't provide a vcov()
-method.
get_varcov(x, ...)# S3 method for betareg
get_varcov(x, component = c("conditional", "precision", "all"), ...)
# S3 method for DirichletRegModel
get_varcov(x, component = c("conditional", "precision", "all"), ...)
# 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 MixMod
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 brmsfit
get_varcov(x, component = c("conditional", "zero_inflated", "zi", "all"), ...)
# 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"), ...)
A model.
Currently not used.
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.
Logical, if TRUE
, for aov
, returns the full
variance-covariance matrix.
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
.
The variance-covariance matrix, as matrix
-object.
# NOT RUN {
data(mtcars)
m <- lm(mpg ~ wt + cyl + vs, data = mtcars)
get_varcov(m)
# }
Run the code above in your browser using DataLab