influence.spmodel function

Regression diagnostics

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

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

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

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

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

Arguments

• model: A fitted model object from splm(), spautor(), spglm(), or spgautor().
• ...: Other arguments. Not used (needed for generic consistency).

Returns

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

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().

Examples

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

See Also

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