library(stockassessment)
setwd("run")
load("data.RData")
conf<-loadConf(dat,"../conf/model.cfg", patch=TRUE)
par<-defpar(dat,conf)
set.seed(1337)
#par$transfIRARdist=c(5,0,5)
#mymap<-list(transfIRARdist=factor(c(NA,1,NA)))

fit<-sam.fit(dat,conf,par)#, map=mymap)
if(fit$opt$convergence!=0) stop("Model did not converge.")
save(fit, file="model.RData")