aka the JAFROC website

RJafroc is replacing Windows JAFROC

An R package RJafroc is available. It is an enhanced, free, open-source, cross-platform implementation of existing JAFROC Windows software. The enhancements are described in the upcoming book on observer performance. Since it runs on any platform, it makes more sense to focus on this and discontinue updating the Windows version.

The package reads data in all currently used data formats including Excel; it even outputs the results of significance testing in Excel format. Significance testing uses two methods in widespread use, a jackknife pseudo-value based method and an analysis of variance method with correlated errors. Included are tools for (1) calculating a variety of free-response figures of merit; (2) sample size estimation for planning a future study ROC or FROC study based on pilot data; (3) viewing empirical operating characteristics in receiver operating characteristic and free-response paradigms; (4) producing formatted report files; (5) saving a data file in appropriate format for analysis with alternate software; (6) comparing CAD to a group of radiologists interpreting the same cases; (7) fitting the radiological search model (RSM) and the contaminated binormal model (CBM) to ROC data; (8) extracting measures of search and lesion-classification performances, highly useful measures unknown in the ROC world; etc.

We seek input from all users on this new software and documentation. Any significant help will be acknowledged.

Following are links of three PDF files to help you install, use and understand the package. It does require learning R, but I promise you wont be disappointed.

Install and Run RJafroc (for the R novice but could be useful to others). The code examples in this document are available at Downloads under "Example code to test RJafroc"

RJafroc User Manual

Statistical Methods and More Examples

Creator: Dev P. Chakraborty, Ph. D. | Maintainer & Bugs Report: Xuetong Zhai, M.S. | ©2005, ©2017 , ©2017 ExpertCAD™ Analytics