spatstat (version 1.48-0)

ppmInfluence: Leverage and Influence Measures for Spatial Point Process Model

Description

Calculates all the leverage and influence measures described in influence.ppm, leverage.ppm and dfbetas.ppm.

Usage

ppmInfluence(fit, what = c("leverage", "influence", "dfbetas"), ..., iScore = NULL, iHessian = NULL, iArgs = NULL, drop = FALSE, fitname = NULL)

Arguments

fit
A fitted point process model of class "ppm".
what
Character vector specifying which quantities are to be calculated. Default is to calculate all quantities.
...
Ignored.
iScore,iHessian
Components of the score vector and Hessian matrix for the irregular parameters, if required. See Details.
iArgs
List of extra arguments for the functions iScore, iHessian if required.
drop
Logical. Whether to include (drop=FALSE) or exclude (drop=TRUE) contributions from quadrature points that were not used to fit the model.
fitname
Optional character string name for the fitted model fit.

Value

A list containing the leverage and influence measures specified by what.

Details

This function calculates all the leverage and influence measures described in influence.ppm, leverage.ppm and dfbetas.ppm.

When analysing large datasets, the user can call ppmInfluence to perform the calculations efficiently, then extract the leverage and influence values as desired.

See Also

leverage.ppm, influence.ppm, dfbetas.ppm

Examples

Run this code
   X <- rpoispp(function(x,y) { exp(3+3*x) })
   fit <- ppm(X ~ x+y)
   fI <- ppmInfluence(fit)
   fI$influence
   fI$leverage
   fI$dfbetas

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