RCaller is now in its 4th year with its version of 2.3 and it is considerable mature now. It is used in many commercial projects as well as scholarly papers and thesis. Here is the list of scholarly papers, projects and thesis that I stumbled upon in Google Scholar.
- MingXue Wang; Handurukande, S.B.; Nassar, M., "RPig: A scalable framework for machine learning and advanced statistical functionalities," Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on , vol., no., pp.293,300, 3-6 Dec. 2012
doi: 10.1109/CloudCom.2012.6427480
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6427480&isnumber=6427477
- Niya Wang, Fan Meng, Li Chen, Subha Madhavan, Robert Clarke, Eric P. Hoffman, Jianhua Xuan, and Yue Wang. 2013. The CAM software for nonnegative blind source separation in R-Java. J. Mach. Learn. Res. 14, 1 (January 2013), 2899-2903. http://dl.acm.org/citation.cfm?id=2567753
- Meng, Fan. Design and Implementation of Convex Analysis of Mixtures Software Suite, Master's Thesis, 2012. Abstract: Various convex analysis of mixtures (CAM) based algorithms have been developed to address real world blind source separation (BSS) problems and proven to have good performances in previous papers. This thesis reported the implementation of a comprehensive software CAM-Java, which contains three different CAM based algorithms, CAM compartment modeling (CAM-CM), CAM non-negative independent component analysis (CAM-nICA), and CAM non-negative well-grounded component analysis (CAM-nWCA). The implementation works include: translation of MATLAB coded algorithms to open-sourced R alternatives. As well as building a user friendly graphic user interface (GUI) to integrate three algorithms together, which is accomplished by adopting Java Swing API.In order to combine R and Java coded modules, an open-sourced project RCaller is used to handle the establishment of low level connection between R and Java environment. In addition, specific R scripts and Java classes are also implemented to accomplish the tasks of passing parameters and input data from Java to R, run R scripts in Java environment, read R results back to Java, display R generated figures, and so on. Furthermore, system stream redirection and multi-threads techniques are used to build a simple R messages displaying window in Java built GUI.The final version of the software runs smoothly and stable, and the CAM-CM results on both simulated and real DCE-MRI data are quite close to the original MATLAB version algorithms. The whole GUI based open-sourced software is easy to use, and can be freely distributed among the communities. Technical details in both R and Java modules implementation are also discussed, which presents some good examples of how to develop software with both complicate and up to date algorithms, as well as decent and user friendly GUI in the scientific or engineering research fields. http://scholar.lib.vt.edu/theses/available/etd-08202012-162249/
RCaller is now in its 4th year with its version of 2.3 and it is considerable mature now. It is used in many commercial projects as well as scholarly papers and thesis. Here is the list of scholarly papers, projects and thesis that I stumbled upon in Google Scholar.
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