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PR <= alpha or CR <= beta, and rounding
the sample size up could not repair it. The search is now refined by
solving the two binding risk equations (Nelder-Mead in log coordinates),
the sample size is rounded up from the binding solution, and both risks
are verified at the delivered size. Known-theta sample sizes are now the
minimal feasible integers, e.g. the reported moisture case (PRQ = 0.005,
CRQ = 0.01, USL = 0.05, theta = 500) changes from n = 112 (violating
both risks) to n = 117. If the refinement does not converge, the
constrained-search solution is delivered after verification, with a
warning.PR and
CR, the OC curve and the plots now describe the delivered
integer plan, and n equals sample_size.
Unknown-theta plans keep the previous reporting semantics.accProb() no longer fails for a Beta plan with
acceptability constant k = 0 (floating-point cancellation made the
closed-form discriminant marginally negative)."gk_adjustment".These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.