pROC

ROC curve (Receiver operating characteristic) package for #rstats full/partial AUC, plots, smooth, statistical comparison and more.

[pROC @pROC_package]

pROC 1.19.0 is out with many bug fixes and improvements: https://t.co/DxYWA2kxon

[pROC @pROC_package]

pROC 1.18.0 is out with CI for ROC test estimates and fixed documentation. https://t.co/OtCDpomEC3

[pROC @pROC_package]

@AAlrubkhi It describes the outcome of the disease in the patients. Please see the reference linked from the documentation for more details. https://t.co/EzYVEYFRk9 https://t.co/NJXeHj8QFK

[pROC @pROC_package]

pROC 1.16.0 is out with bug fixes and major, backwards incompatible changes in the coords function. Check out https://t.co/uOeE90iUdM for more information.

[pROC @pROC_package]

@AAlrubkhi To build a ROC curve you will need both your test result and a measurement of the ground truth.

[pROC @pROC_package]

pROC 1.17.0 is out with several bug fixes, small changes and new input values for the coords function. https://t.co/KB0XDnSFoF

[pROC @pROC_package]

pROC 1.15.3 is out with bug fixes https://t.co/XG83UiWaIj

[pROC @pROC_package]

pROC 1.15.0 is out with improved pipelines support, performance speed-ups, increased verbosity and many bug fixes https://t.co/PuiKc9ycFl

[pROC @pROC_package]

New multiclass ROC input format with pROC 1.14.0. Check it out: https://t.co/6o7fIHk2Fl

[pROC @pROC_package]

pROC 1.12.1 is a hotfix for a major regression of 1.12.0 for larger datasets. https://t.co/4bq6nST4iH

[pROC @pROC_package]

pROC 1.12.0 is on CRAN with multiple bug fixes and speed improvements https://t.co/CBy00A9Zhk

[pROC @pROC_package]

pROC 1.9.1 is on CRAN with multiple improvements https://t.co/mgiWZ1gcMa

[pROC @pROC_package]

pROC 1.8 is coming with some potential backward-incompatible changes in the namespace http://t.co/YakUVM3fnc

[Xavier Robin @xavier_robin]

I'll present @pROC_package next Tuesday at CopenhagenR http://t.co/mqEVNOA14g

[pROC @pROC_package]

pROC 1.7.2 is out with several bugfixes. https://t.co/pCqaF5SMcx

[Xavier Robin @xavier_robin]

Awesome: 60x speed-up of bootstrap AUC with #Rcpp

[Xavier Robin @xavier_robin]

Power ROC tests, confidence intervals for arbitrary coordinates, speed enhancements: the new features in pROC 1.6 http://t.co/jP9g3WpavE

[pROC @pROC_package]

pROC 1.5.1 is out and will load faster. http://t.co/9iwrGHUz

[pROC @pROC_package]

Future development: multiclass ROC curves: http://t.co/9UaxpGg3

[pROC @pROC_package]

Discussion about interpolation of sensitivity and specificity in 'coords': how to get the threshold?
http://t.co/cPDoSHnq