AIC | R Documentation |
AIC.glmssn
is a method that calculates AIC for fitted glmssn
objects.
## S3 method for class 'glmssn'
AIC(object, ..., k = 2)
object |
an object of class glmssn |
... |
optionally more fitted model objects |
k |
numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC. |
AIC is a generic function and this implements a method for glmssn
objects
a numeric AIC value for the specified glmssn
object
Jay Ver Hoef support@SpatialStreamNetworks.com
glmssn
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'))
#note the model was fitted using REML, so fixed effects have
# been integrated out
summary(fitSp)
AIC(fitSp)
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