spmodel (version 0.10.0)

influence.spmodel: 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 splm
influence(model, ...)
# S3 method for spautor
influence(model, ...)
# S3 method for spglm
influence(model, ...)
# S3 method for spgautor
influence(model, ...)

Value

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

Arguments

model

A fitted model object from splm(), spautor(), spglm(), or spgautor().

...

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

Details

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

See Also

augment.spmodel() cooks.distance.spmodel() hatvalues.spmodel() residuals.spmodel()

Examples

spmod <- splm(z ~ water + tarp,
  data = caribou,
  spcov_type = "exponential", xcoord = x, ycoord = y
)
influence(spmod)