Nothing

```
log_prior_5pars_root_bounds <-
function(type=c(rep('Normal',4),'Uniform'),shape=list(c(0,10),c(0,10),c(0,10),c(0,10),NA),pars,Npts){
# pars: the actual parameters for which to calculate the prior (dCoeff,a,b,c,x0).
# type: either uniform of normal prior for each param, only uniform (discrete) for root position
# the prior is on log(sigsq/2)=dCoeff, not sigsq
# shape: params of the prior, min/max for uniform , mean/sd for normal, no shape for root position yet (uniform discrete between 1 and Npts)
p=list()
for (i in 1:4){
if (type[i]=='Normal'){p[[i]]=dnorm(x=pars[i],mean=shape[[i]][1],sd=shape[[i]][2])}
if (type[i]=='Uniform'){p[[i]]=dunif(x=pars[i],min=shape[[i]][1],max=shape[[i]][2])}
}
# root should also be treated as a continuous value???? change the call in log-lik function then to retrieve the exact point. Or we shift it when we update bmin... better probably
if (type[5]=='Uniform'){
if (pars[5]%in%c(1:Npts)){
p[[5]]=1/Npts
}
else {p[[5]]=0}
}
else { stop('Only uniform prior on root position is supported.')}
return(log(p[[1]]*p[[2]]*p[[3]]*p[[4]]*p[[5]]))
}
```

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