library(stockassessment)
setwd("run")
load("data.RData")
conf<-loadConf(dat,"../conf/model.cfg", patch=TRUE)
par<-defpar(dat,conf)
par$logSdLogN<- c(0,log(0.05))
fit<-sam.fit(dat,conf,par,map=list(logSdLogN=factor(c(1,NA))),newtonsteps=0)
if(fit$opt$convergence!=0) stop("Model did not converge.")
save(fit, file="model.RData")