pROC
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Display and analyze ROC curves in R and S+
**Describe the bug** If one programmatically creates formulas using stats::formula or as.formula, when using this in roc(formula=) argument, a print is not able of the resulting roc object. It seems...
I'm writing to ask if it is possible to add "positive and negative likelihood ratios" to the `ret` arg of ci.coords()? Thank you for pROC and for considering my request!
**Is your feature request related to a problem? Please describe.** Recently, I've been doing a lot of resampling and fitting ROCs to a lot of bootstraps in order to bootstrap...
It would be great to have the calculations for the curve take into account cases weights (i.e. a non-negative, numeric vector of values the same length as the other data...
**Is your feature request related to a problem? Please describe.** Would like access to the estimate and confidence intervals when running: ``` roc.test(roc1, roc2, method="delong") ``` Currently, the estimate returned...
Follow-up of #67. `ci.coords` should be able to accept every coordinate that `coords` takes. An application would be to add error bars on PR curves ``` r
It would be nice if there would be roc/auc-methods for objects of class `lm`. The methods could have signature: ``` roc.lm
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 ```...
This already kind of works with ggroc and univariate multiclass: > m ggroc(m$rocs) This should be improved so that legend is shown correctly, and extended to multivariate plots with ggroc,...
The all-in-one calls are difficult to maintain and to test. For instance all the *.formula methods are a mess. Functions such as ci or auc should not create ROC curves,...