predictive.models <- list(
"NullModel" = function(x){
glm(Growth~Size, data=x, family="poisson")
},
"TimeModel" = function(x){
glm(Growth~Size+CollectionDate, data=x, family="poisson")
}
)
predictor.transformations <- list(
"CollectionDate" = function(x){mean(x)}
)
cluster.data <- cluster.ex
cluster.data[,"RangeID":=0]
res <- fit.analysis(cluster.data,
predictor.transformations = predictor.transformations,
predictive.models = predictive.models)
aics <- get.AIC(res)
aicdiff <- aics$TimeModelAIC-aics$NullModelAIC
which.min(aicdiff)
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