Is it possible to save values of the estimated paramters for the last iteration such that I can use them as intitail values for the next sampling.
This is because, l’m fitting a complex IRT model with large sample size and test length, as well as large number of iterations before reaching convergence. However, the sampling is halted due to running out of memory. So, my idea is to run few number of iterations, then taking the last values of the estimates and use them as initial values for another sampling with few number of iteration.
Overall, it is possible to extract paprameter values for each iteration and save them as a matrix for example?