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maxiter passed to _fit_s and _fit_m within _meanprecision so updates to the mle function maxiter parameter are carried out

…to the mle function maxiter parameter are carried out
maxiter = MAXINT
for i in range(maxiter):
a1 = _fit_s(D, a0, logp, tol=tol)
a1 = _fit_s(D, a0, logp, tol=tol, maxiter=maxiter)
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This would make maxiter an n^2 scaling parameter, and since there's a separate inner loop, I don't think it makes sense to tie them to the same value. Did you see some benefit in doing so?

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