npRmpi: Parallel nonparametric kernel smoothing methods for mixed data
types
This package provides a variety of nonparametric (and
semiparametric) kernel methods that seamlessly handle a mix of
continuous, unordered, and ordered factor data types. This
package is a parallel implementation of the np package based on
the MPI specification that incorporates the Rmpi package (Hao
Yu <hyu@stats.uwo.ca>) with minor modifications and we are
extremely grateful to Hao Yu for his contributions to the R
community. We would like to gratefully acknowledge support from
the Natural Sciences and Engineering Research Council of Canada
(NSERC:www.nserc.ca), the Social Sciences and Humanities
Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared
Hierarchical Academic Research Computing Network
(SHARCNET:www.sharcnet.ca).
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Reverse dependencies: