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).

Version: 0.50-1.1
Depends: boot, cubature
Suggests: quantreg, MASS, parallel
Published: 2014-01-01
Author: Tristen Hayfield, Jeffrey S. Racine
Maintainer: Jeffrey S. Racine <racinej at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL]
Copyright: see file COPYRIGHTS
URL: https://github.com/JeffreyRacine/R-Package-npRmpi/
NeedsCompilation: yes
Citation: npRmpi citation info
Materials: README ChangeLog
CRAN checks: npRmpi results

Downloads:

Reference manual: npRmpi.pdf
Package source: npRmpi_0.50-1.1.tar.gz
OS X binary: not available, see check log.
Windows binary: not available, see ReadMe.
Old sources: npRmpi archive

Reverse dependencies:

Reverse suggests: crs