Dear R users,

A parallel implementation of the np package titled `npRmpi' is now available on 
CRAN. This package can take advantage of multiple core computing environments 
to reduce the run time associated with the methods contained in the np package. 

Kindly see the vignette for details and examples on modifying np code and 
running it in a parallel environment. You are requested to seek local 
assistance for configuring machines to support MPI aware programs.

Information on the npRmpi package:

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 incorporates the Rmpi package (Hao Yu 
<h...@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).

A thorough treatment of the subject matter can be found in Li, Q. and J. S. 
Racine (2007), Nonparametric Econometrics: Theory and Practice, Princeton 
University Press, ISBN: 0691121613 (768 Pages) for
those who might be interested (http://press.princeton.edu/titles/8355.html)

-- Jeffrey Racine & Tristen Hayfield.

Professor J. S. Racine         Phone:  (905) 525 9140 x 23825
Department of Economics        FAX:    (905) 521-8232
McMaster University            e-mail: raci...@mcmaster.ca
1280 Main St. W.,Hamilton,     URL: www.economics.mcmaster.ca/racine
Ontario, Canada. L8S 4M4

`The generation of random numbers is too important to be left to chance'

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