influence.SSN2 {SSN2}

Regression diagnostics

Description

Provides basic quantities which are used in forming a wide variety of diagnostics for checking the quality of fitted model objects.

Usage

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

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

Arguments

model

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

...

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

Details

This function calls residuals.SSN2(), hatvalues.SSN2(), and cooks.distance.SSN2() and puts the results into a tibble. It is primarily used when calling augment.SSN2().

Value

A tibble with residuals (.resid), leverage values (.hat), cook's distance (.cooksd), and standardized residuals (.std.resid).

See Also

augment.SSN2() cooks.distance.SSN2() hatvalues.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"
)
influence(ssn_mod)