standardize_info {parameters} | R Documentation |
Get Standardization Information
Description
This function extracts information, such as the deviations (SD or MAD) from parent variables, that are necessary for post-hoc standardization of parameters. This function gives a window on how standardized are obtained, i.e., by what they are divided. The "basic" method of standardization uses.
Usage
standardize_info(model, ...)
## Default S3 method:
standardize_info(
model,
robust = FALSE,
two_sd = FALSE,
include_pseudo = FALSE,
verbose = TRUE,
...
)
Arguments
model |
A statistical model. |
... |
Arguments passed to or from other methods. |
robust |
Logical, if |
two_sd |
If |
include_pseudo |
(For (G)LMMs) Should Pseudo-standardized information be included? |
verbose |
Toggle warnings and messages on or off. |
Value
A data frame with information on each parameter (see
parameters_type()
), and various standardization coefficients
for the post-hoc methods (see standardize_parameters()
) for the predictor
and the response.
See Also
Other standardize:
standardize_parameters()
Examples
model <- lm(mpg ~ ., data = mtcars)
standardize_info(model)
standardize_info(model, robust = TRUE)
standardize_info(model, two_sd = TRUE)