add R-multicore and R-kernlab to Fedora and EPEL
Issue
- Customer would like to have r-multicore and r-kernlab added to Fedora and EPEL for RHEL 6 and beyond.
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r-multicore provides a way of running parallel computations in R on machines with multiple cores or CPUs. Jobs can share the entire initial workspace and it provides methods for results collection.
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r-kernlab : Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.
Environment
- EPEL for Red Hat Enterprise Linux 6
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