SSN (version 1.1.17)

summary.glmssn: Summary - S3 Method for Class 'glmssn'

Description

summary is a generic function that produces output summaries of fitted models in the SSN package. In particular, the function invokes methods for objects of class glmssn.

Usage

# S3 method for glmssn
summary(object, ...)

Value

An object with a 3-item list:

fixed.effects.estimates

a data.frame with columns FactorLevel (effect & level) Estimate, std.err, t.value, and prob.t (p-value) for the fixed effects

covariance.parameter.estimates

a list of covariance parameter estimates for each covariance model

Warnings

a list of warnings associated with the object

Arguments

object

an object of class glmssn

...

other arguments passed to summary

Author

Jay Ver Hoef

Details

The summary.glmssn function summarizes the fitted model with a table of estimates for the fixed effects and the covariance parameter estimates. It also provides a warning log.

See Also

glmssn,link{covparms}

Examples

	library(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'))
	names(fitSp)
	names(fitSp$ssn.object)

  summary(fitSp)