MJMLE= maximum number of JMLE iterations = 0, no limit
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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
Example 5: To perform an exact number of JMLE iterations.
a) set the convergence criteria very tight, so that they are never satistified:
b) set the maximum number of JMLE iterations equal to the desired number:
MJMLE = 99 (or whatever)
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