residuals.slmfit: Extract Model Residuals from an 'slmfit' object.

In highamm/sptotal: Predicting Totals and Weighted Sums from Spatial Data

Extract Model Residuals from an slmfit object.

Description

Extract Model Residuals from an slmfit object.

Usage

## S3 method for class 'slmfit'
residuals(object, type = "raw", cross.validation = FALSE, ...)

Arguments

object	a slmfit object generated from the slmfit() function.
type	residual type: "raw" (the default) or "normalized"
cross.validation	a logical (TRUE or FALSE) that indicates whether the residuals computed should be found using leave one out cross-validation. Set to FALSE by default.
...	further arguments passed to or from other methods.

Value

a vector of residuals, consisting of each observed response/density minus the estimated mean, or, in the case of cross-validation, the observed response/density minus the leave-one-out-cross-validation prediction.

Examples

data(exampledataset) ## load a toy data set
slmobj <- slmfit(formula = counts ~ pred1 + pred2, data = exampledataset,
xcoordcol = 'xcoords', ycoordcol = 'ycoords', areacol = 'areavar')
residuals(slmobj)
residuals(slmobj, cross.validation = TRUE)

highamm/sptotal documentation built on Aug. 12, 2024, 2:04 a.m.