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Implement CI for multiclass.roc #38

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xrobin opened this issue Jan 20, 2019 · 3 comments
Open

Implement CI for multiclass.roc #38

xrobin opened this issue Jan 20, 2019 · 3 comments
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feature-request test The issue needs tests to be written

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@xrobin
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xrobin commented Jan 20, 2019

CI is broken for multiclass.roc:

data(aSAH)
multiclass.roc(aSAH$gos6, aSAH$s100b, ci=TRUE)
Error in roc.default(response, predictor, levels = X, percent = percent,  : 
  formal argument "ci" matched by multiple actual arguments

It is also not possible to calculate a CI on an existing object:

ci(multiclass.roc(aSAH$gos6, aSAH$s100b))
Error in roc.default(response, predictor, ...) : No valid data provided.

This should work easily for univariate multiclass.roc. The new mv.multiclass.roc might need a bit more work.

@xrobin xrobin added bug No, it's not a feature! test The issue needs tests to be written labels Feb 20, 2019
@xrobin xrobin added feature-request and removed bug No, it's not a feature! labels Mar 11, 2019
@xrobin xrobin changed the title CI broken for multiclass.roc Implement CI for multiclass.roc Mar 11, 2019
@xrobin
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xrobin commented Mar 11, 2019

CI has really never been implemented for multiclass.roc. Dead code disabled and cleaner error messages implemented until it is available.

@snagaraj0
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Is this available yet?

@xrobin
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xrobin commented Jul 15, 2020

@snagaraj0 This is pretty low in my priority list. I'm unlikely to have time to implement it any time soon, but I always welcome pull requests. Let me know if you'd like to contribute!

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Labels
feature-request test The issue needs tests to be written
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