MJMLE= maximum number of JMLE iterations = 0, no limit

JMLE iterations may take a long time for big data sets, so initially set this to -1 for no JMLE iterations. Then set MJMLE= to 10 or 15 until you know that more precise measures will be useful. The number of PROX iterations, MPROX=, affects the number of JMLE iterations but does not affect the final estimates.

MJMLE= (or MUCON=) specifies the maximum number of JMLE iterations to be performed. Iteration will always cease when both LCONV= and RCONV= criteria have been met, see CONVERGE=. To specify no maximum number limitation, set MJMLE=0. Iteration always be stopped by Ctrl with F, see "Stopping Winsteps".

Example 1:        To allow up to 4 iterations in order to obtain rough estimates of a complex rating (or partial credit) scale:

                       MJMLE=4        4 JMLE iterations maximum

Example 2:        To allow up to as many iterations as needed to meet the other convergence criteria:

                       MJMLE=0        Unlimited JMLE iterations

Example 3:        Perform no JMLE iterations, since the PROX estimates are good enough.

                       MJMLE=-1        No JMLE iteration

Example 4:        Run as quick estimation as possible to check out control options.

                       MPROX=-1        ; minimal prox estimation iterations

                       MJMLE=-1        ; no JMLE iterations