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When developing a diagnostic test, it is common to have three regions: eg high confident negative, ambiguous, and high confident positive. Two cutpoints cp1 and cp2 would accomplish this. Cutpointr current only accepts one cp as: method = oc_manual, cutpoint = cp. I ended up preparing two data, data1 includes only the ambiguous middle and data2 without those falling in the middle region.
It would be great if cutpointr could support something like:
Hi Christian:
When developing a diagnostic test, it is common to have three regions: eg high confident negative, ambiguous, and high confident positive. Two cutpoints cp1 and cp2 would accomplish this. Cutpointr current only accepts one cp as: method = oc_manual, cutpoint = cp. I ended up preparing two data, data1 includes only the ambiguous middle and data2 without those falling in the middle region.
It would be great if cutpointr could support something like:
opt_cut <- cutpointr(data=suicide, x=age, class=suicide,
direction = ">=", pos_class = "yes", neg_class = "no",
method = oc_manual, cutpoint = c(30, 40))
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