cooks.distance.SSN2 {SSN2}

Compute Cook's distance

Description

Compute the Cook's distance for each observation from a fitted model object.

Usage

## S3 method for class 'ssn_lm'
cooks.distance(model, ...)

## S3 method for class 'ssn_glm'
cooks.distance(model, ...)

Arguments

model

A fitted model object from ssn_lm() or ssn_glm().

...

Other arguments. Not used (needed for generic consistency).

Details

Cook's distance measures the influence of an observation on a fitted model object. If an observation is influential, its omission from the data noticeably impacts parameter estimates. The larger the Cook's distance, the larger the influence.

Value

A vector of Cook's distance values for each observation from the fitted model object.

See Also

augment.SSN2() hatvalues.SSN2() influence.SSN2() residuals.SSN2()

Examples

# Copy the mf04p .ssn data to a local directory and read it into R
# When modeling with your .ssn object, you will load it using the relevant
# path to the .ssn data on your machine
copy_lsn_to_temp()
temp_path <- paste0(tempdir(), "/MiddleFork04.ssn")
mf04p <- ssn_import(temp_path, overwrite = TRUE)

ssn_mod <- ssn_lm(
  formula = Summer_mn ~ ELEV_DEM,
  ssn.object = mf04p,
  tailup_type = "exponential",
  additive = "afvArea"
)
cooks.distance(ssn_mod)