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: 0.60-2
Imports: boot, cubature, stats
Suggests: quantreg, MASS, parallel
Published: 2014-06-28
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/JeffreyRacine/R-Package-npRmpi/
NeedsCompilation: yes
Citation: NA
Materials: NA
CRAN checks: npRmpi results

Downloads:

Reference manual: npRmpi.pdf
Vignettes: Frequently Asked Questions (np)
Package source: npRmpi_0.60-2.tar.gz
Windows binaries: r-devel: npRmpi_0.60-2.zip, r-release: npRmpi_0.60-2.zip, r-oldrel: npRmpi_0.60-2.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available
Old sources: npRmpi archive

Reverse dependencies:

Reverse suggests: crs