I am using 'openCR.fit' to fit a JSSAsecrb model. I understand the optimization is performed by stats::nlm. stats::nlm has the `iterlim` parameter set at 100. Hence, by default, `openCR.fit` stops after 100 iterations.
My problem is taking considerably more iterations to converge. At present, values at iteration 100 become starting values for the next run, and one model took 6 restarts to converge. Is there a way to increase the number of allowed iterations?
Passing `iterlim = 500` to `openCR.fit` does not do it. This is not a critical issue as I have the restart-with-starting-values work around, but it would be convenient and save time overall.