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Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <http://www.sharcnet.ca>).

copied from cf-post-staging / r-np
Type Size Name Uploaded Downloads Labels
conda 2.6 MB | win-64/r-np-0.60_13-r41h6d2157b_0.tar.bz2  3 years and 1 month ago 613 main
conda 2.7 MB | win-64/r-np-0.60_13-r40h6d2157b_0.tar.bz2  3 years and 1 month ago 604 main
conda 2.6 MB | osx-64/r-np-0.60_13-r40hef1f586_0.tar.bz2  3 years and 1 month ago 77 main
conda 2.7 MB | osx-64/r-np-0.60_13-r41hef1f586_0.tar.bz2  3 years and 1 month ago 79 main
conda 2.6 MB | linux-64/r-np-0.60_13-r40h06615bd_0.tar.bz2  3 years and 1 month ago 2337 main
conda 2.6 MB | linux-64/r-np-0.60_13-r41h06615bd_0.tar.bz2  3 years and 1 month ago 2338 main

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