varcomp: Variance Components for glmssn Objects

In jayverhoef/SSN: Spatial Modeling on Stream Networks

Variance Components for glmssn Objects

Description

The varcomp function displays the variance proportions for the autocovariance functions in the glmssn object.

Usage

varcomp(object)

Arguments

object

a glmssn-class object

Details

The varcomp function displays the variance component for each autocovariance function, as well as the Covariates component and the nugget.

Value

A data frame with two columns. The first column is the name of the variance component and the second column is the proportion for each variance component.

Author(s)

Jay Ver Hoef [e-mail]

See Also

glmssn, covparms

Examples

	library(SSN)
	#for examples, copy MiddleFork04.ssn directory to R's temporary directory
	copyLSN2temp()
	# NOT RUN
	# Create a SpatialStreamNetork object that also contains prediction sites
	#mf04p <- importSSN(paste0(tempdir(),'/MiddleFork04.ssn'), 
	#  predpts = "pred1km", o.write = TRUE)
	#use mf04p SpatialStreamNetwork object, already created
	data(mf04p)
	#for examples only, make sure mf04p has the correct path
	#if you use importSSN(), path will be correct
	mf04p <- updatePath(mf04p, paste0(tempdir(),'/MiddleFork04.ssn'))
		  
	# get some model fits stored as data objects
	data(modelFits)
	#NOT RUN use this one
	#fitSp <- glmssn(Summer_mn ~ ELEV_DEM + netID,
	#    ssn.object = mf04p, EstMeth = "REML", family = "Gaussian",
	#    CorModels = c("Exponential.tailup","Exponential.taildown",
	#    "Exponential.Euclid"), addfunccol = "afvArea")
	#for examples only, make sure fitSp has the correct path
	#if you use importSSN(), path will be correct
	fitSp$ssn.object <- updatePath(fitSp$ssn.object, 
		paste0(tempdir(),'/MiddleFork04.ssn'))

	varcomp(fitSp)

jayverhoef/SSN documentation built on May 1, 2023, 1:04 p.m.