npRmpi (0.60-2)

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Parallel nonparametric kernel smoothing methods for mixed data types.

https://github.com/JeffreyRacine/R-Package-npRmpi/
http://cran.r-project.org/web/packages/npRmpi

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 ) 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).

Maintainer: Jeffrey S. Racine
Author(s): Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]

License: GPL

Uses: boot, cubature, quantreg, MASS
Reverse suggests: crs

Released almost 5 years ago.


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