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Compute the Cook's distance for each observation from a fitted model object.
# S3 method for ssn_lm
cooks.distance(model, ...)# S3 method for ssn_glm
cooks.distance(model, ...)
A vector of Cook's distance values for each observation from the fitted model object.
A fitted model object from ssn_lm() or ssn_glm().
Other arguments. Not used (needed for generic consistency).
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.
augment.SSN2() hatvalues.SSN2() influence.SSN2() residuals.SSN2()
# 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)
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