Nothing
#' Partial AUC Estimation and Inference
#'
#' Estimate and infer the area of region under ROC curve with pre-specific FPR constraint (FPR-pAUC). See \href{http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html}{Yang et al., 2017} for details.
#'
#' @param response a factor, numeric or character vector of responses;
#' typically encoded with 0 (negative) and 1 (positive).
#' Only two classes can be used in a ROC curve. If its levels are not 0/1,
#' the first level will be defaultly regarded as negative.
#'
#' @param predictor a numeric vector of the same length than response, containing the predicted value of each observation. An ordered factor is coerced to a numeric.
#' @param threshold numeric; false positive rate (FPR) constraint.
#' @param method methods to estimate FPR-pAUC. \code{MW}: Mann-Whitney statistic. \code{expect}: method in (2.2) \href{http://www.ncbi.nlm.nih.gov/pubmed/20729218}{Wang and Chang, 2011}. \code{jackknife}: jackknife method in \href{http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html}{Yang et al., 2017}.
#' @param ci logic; compute the confidence interval of estimation?
#' @param cp numeric; coverage probability of confidence interval.
#' @param smooth if \code{TRUE}, the ROC curve is passed to \code{\link[pROC]{smooth}} to be smoothed.
#'
#' @details This function estimates and infers FPR partial AUC given response, predictor and pre-specific FPR constraint.
#' \code{MW}: Mann-Whitney statistic. \code{expect}: method in (2.2) \href{http://www.ncbi.nlm.nih.gov/pubmed/20729218}{Wang and Chang, 2011}. \code{jackknife}: jackknife method in \href{http://www3.stat.sinica.edu.tw/statistica/j27n1/j27n117/j27n117.html}{Yang et al., 2017}.
#' @return Estimate and Inference of FPR partial AUC.
#'
#' @author Hanfang Yang, Kun Lu, Xiang Lyu, Feifang Hu, Yichuan Zhao.
#' @seealso \code{\link[pROC]{roc}}, \code{\link[tpAUC]{tproc.est}}, \code{\link[tpAUC]{proc.est}}, \code{\link[tpAUC]{proc.ci}}
#'
#' @examples
#'
#' library('pROC')
#' data(aSAH)
#' proc(aSAH$outcome, aSAH$s100b,threshold=0.9, method='expect',ci=TRUE, cp=0.95)
#'
#' @export
#'
#' @import pROC
#' @importFrom stats ecdf approxfun runif
#' @importFrom graphics lines abline
#'
#'
proc=function(response,predictor,threshold=0.9, method='MW',ci=TRUE, cp=0.95, smooth=FALSE) {
pauc=proc.est(response,predictor,threshold=threshold, method=method,smooth=smooth)
l=list(pauc=pauc)
if (ci==TRUE){
c=proc.ci(response,predictor, cp=cp ,threshold=threshold,method=method )
l[['ci']]=c
}
return(l)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.