influence.spmodel: Regression diagnostics

In spmodel: Spatial Statistical Modeling and Prediction

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 '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).

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().

Value

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

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)

spmodel documentation built on July 3, 2025, 9:08 a.m.