SSN (version 1.1.8)

covparms: Get Covariance Parameters

Description

Displays the covariance parameter estimates for the autocovariance function(s) in the glmssn object.

Usage

covparms(object)

Arguments

object

An object of class glmssn-class created using the glmssn function.

Value

Returns a data.frame containing the names of the autocovariance functions and random effects, the parameter names, and their corresponding estimates.

Details

A glmssn-classobject allows up to three autocovariance functions, as well as random effects. The covparms function displays the sill and range for each model, as well as the nugget.

See Also

glmssn

Examples

	library(SSN)
	# NOT RUN 
	# mf04 <- importSSN(system.file("lsndata/MiddleFork04.ssn", 
	#	        package = "SSN"), o.write = TRUE)
	# use SpatialStreamNetwork object mf04 that was already created
	data(mf04)

# for examples, copy MiddleFork04.ssn directory to R's temporary directory
copyLSN2temp()
#make sure mf04p has the correct path, will vary for each users installation
mf04 <- updatePath(mf04, paste0(tempdir(),'/MiddleFork04.ssn'))



	## NOT RUN Distance Matrix has already been created
	## createDistMat(mf04)

	# The models take a little time to fit, so they are NOT RUN 
	# Uncomment the code to run them
	# Alternatively, you can load the fitted models first to look at results
	data(modelFits)

	## 3 component spatial model
	#fitSp <- glmssn(Summer_mn ~ ELEV_DEM + netID,
	#    ssn.object = mf04, EstMeth = "REML", family = "Gaussian",
	#    CorModels = c("Exponential.tailup","Exponential.taildown",
	#    "Exponential.Euclid"), addfunccol = "afvArea")

	## Look at variance components in more detail
	covparms(fitSp)