get_vcov {marginaleffects} | R Documentation |
Get a named variance-covariance matrix from a model object
Description
Mostly for internal use, but can be useful because the output is consistent across model classes.
Usage
get_vcov(model, ...)
## Default S3 method:
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'MCMCglmm'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'afex_aov'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'glimML'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'biglm'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'brmsfit'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'bart'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'gamlss'
get_vcov(model, ...)
## S3 method for class 'glmmTMB'
get_vcov(model, ...)
## S3 method for class 'mhurdle'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'Learner'
get_vcov(model, ...)
## S3 method for class 'orm'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'stpm2'
get_vcov(model, ...)
## S3 method for class 'pstpm2'
get_vcov(model, ...)
## S3 method for class 'gsm'
get_vcov(model, ...)
## S3 method for class 'aft'
get_vcov(model, ...)
## S3 method for class 'scam'
get_vcov(model, vcov = NULL, ...)
## S3 method for class 'systemfit'
get_vcov(model, ...)
## S3 method for class 'model_fit'
get_vcov(model, type = NULL, ...)
## S3 method for class 'workflow'
get_vcov(model, type = NULL, ...)
Arguments
model |
Model object |
... |
Additional arguments are passed to the |
vcov |
Type of uncertainty estimates to report (e.g., for robust standard errors). Acceptable values:
|
type |
string indicates the type (scale) of the predictions used to
compute contrasts or slopes. This can differ based on the model
type, but will typically be a string such as: "response", "link", "probs",
or "zero". When an unsupported string is entered, the model-specific list of
acceptable values is returned in an error message. When |
Value
A named square matrix of variance and covariances. The names must match the coefficient names.