SpatialStreamNetwork
glmssn(...)
.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 )
SpatialStreamNetwork
, directly.Class SpatialLines, by class "SpatialLinesDataFrame", distance 2.
Class Spatial, by class "SpatialLinesDataFrame", distance 3.
glmssn