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Currently, if nls fails to converge, GCAT immediately switches to an alternative model. See if changing the initial guess would help first. Try randomly changing all initial guess values by 10% and fitting again. If still fails, what about a larger change, e.g. 30% or 50%?
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If Richards model fails, GCAT switches to logistic. This is not necessarily the best choice. Try fitting both logistic and Gompertz, then choose the one with the lower RSS.
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Record the fact that a fit has failed in a slot in the well object.
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