pROC package RDocumentation

pROC. An R package to display and analyze ROC curves. For more information, see: Xavier Robin, Natacha Turck, Alexandre Hainard, et al. (2011) “pROC: an open-source package for R and S+ to analyze and compare ROC curves”. BMC Bioinformatics, 7, 77. DOI: 10.1186/1471-2105-12-77; The official web page on ExPaSy; The CRAN page; My blog; The FAQ; Stable

CRAN Package pROC

2021-7-26  pROC: Display and Analyze ROC Curves. Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves. Version:

R语言(pROC)绘图_玄武灌汤包-CSDN博客

2018-11-9  ROC曲线是临床中常用的统计分析之一,R中可以绘制ROC曲线的包也有很多,pROC包就是其中的佼佼者。pROC包可以计算AUC和95%置信区间,可以可视化、平滑和比较ROC曲线。今天来学习下怎么使用pROC包来绘制平滑ROC曲线。目 录1. 安装和加载R包2.

r<-ROC|包】分析与可视化ROC——plotROC、pROC 简书

2018-6-5  pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics, 12, p. 77. DOI: 10.1186/1471-2105-12-77. 目前谷歌搜索已经有超过2000次引用。