InfoCritCompare <-
function(model.list)
{
IC <- NULL
for(i in 1:length(model.list)) {
if(class(model.list[[i]])[[1]] != "glmssn") {
stop("All models must be of type glmssn")
}
model.name <- NULL
ind <- !duplicated(attributes(model.list[[i]]$estimates$theta)$terms)
terms<- attributes(model.list[[i]]$estimates$theta)$terms[ind]
model.name <- paste(terms,collapse=" + ")
if(model.list[[i]]$args$family != "gaussian") {
model.AIC <- NA
model.neg2LogL <- NA
}
if(model.list[[i]]$args$family =="gaussian"){
model.AIC <- AIC(model.list[[i]])
model.neg2LogL <- model.list[[i]]$estimates$m2LL
}
IC <- rbind(IC, data.frame(
formula = deparse(model.list[[i]]$args$formula, width.cutoff = 500),
EstMethod = model.list[[i]]$args$EstMeth,
Variance_Components = model.name,
neg2LogL = model.neg2LogL,
AIC = model.AIC,
CrossValidationStatsSSN(model.list[[i]]))
)
}
IC
}
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