Benjamin Weinstein

I'm looking for input from the jags community on how best to avoid memory errors when running large models. I have a state-space hidden markov model for modeling animal movement. model{ pi <- 3.141592653589 #for each if 6 argos class observation error for(x in 1:6){ ##argos observation error## argos_prec[x,1:2,1:2] <- argos_cov[x,,] #Constructing the covariance matrix argos_cov[x,1,1] <- argos_sigma[x] argos_cov[x,1,2] <- 0 argos_cov[x,2,1] <- 0 argos_cov[x,2,2] <- argos_alpha[x] } #for each individual...