glmssn-class: Class "glmssn"

In SSN: Spatial Modeling on Stream Networks

Class "glmssn"

Description

a class that holds a fitted model for an object of class SpatialStreamNetwork

Objects from the Class

Objects can be created by calls in the form glmssn(...).

List Objects

An object of class "glmssn" is a list of 4 objects, with the following structure:

  outpt <- list(
		args = list(  ## stores all arguments used in function call
		formula,
		zcol, ## response column name
		family,
		CorModels,
		use.nugget,
		use.anisotropy,
		addfunccol,
		trialscol,
		EstMeth,
		trans.power,
		trans.shift,
		algorithm,
	),
	ssn.object = ssn.object, ## input object of class "SpatialStreamNetwork"
	sampinfo = list( ## sample information
		ind.obs, ## indicator vector for non-missing response values
		ind.RespNA, ## indicator vector for non-missing response values
		sample.size, ## Total number of records in the data frame
		obs.sample.size, ## Number of records with non-missing response values
		missing.sample.size, ## Number of missing response values
		rankX, ## rank of X
		z, ## vector of response values
		trialsvec,
		X, ## design matrix
		effnames,
		setzero,
		setNA,
		setNA2,
		cutX1toX2,
		REs,
		REmodelmatrices,
	),
	estimates = list(
		theta, ## Estimated covariance parameters
 		nugget,
		V ## Estimated covariance matrix
		Vi ## Inverse of V
		betahat ## Estimate of fixed effects
		covb ## Estimated covariance matrix of fixed effects
		covbi ## Inverse of covb
		m2LL ## -2 times log likelihood
		Warnlog ## List of warnings
	),
	loglik.surface=get("RESULT",loglik.environment),
	        optimOutput ## output from optim
	)

Extends

Class SpatialStreamNetwork, directly.

Class SpatialLines, by class "SpatialLinesDataFrame", distance 2.

Class Spatial, by class "SpatialLinesDataFrame", distance 3.

Methods

No methods defined with class "glmssn" in the signature.

Author(s)

Jay Ver Hoef [e-mail]

See Also

glmssn

SSN documentation built on March 7, 2023, 5:30 p.m.