[R] [R-pkgs] Robust Covariance Estimation (NNVE) Package Released

[Adrian Raftery]

 Robust Covariance Estimation Software via Nearest Neighbor Variance Estimation (NNVE)

Software to carry out robust covariance estimation by Nearest Neighbor
Variance Estimation (NNVE) [Wang and Raftery (2002, J. Amer. Statist. Ass.)]
is now available for R and Splus. In the simulation studies published in JASA,
this had mean squared error at least 100 times smaller than that of
other leading covariance estimators when the proportion of outliers was high.

cov.nnve is now available in the covRobust contributed package at
http://cran.r-project.org/src/contrib/PACKAGES.html#covRobust

An Splus version is also available on the S archive of Statlib
http://lib.stat.cmu.edu/S/
under the function name cov.nnve

cov.nnve is by Naisyin Wang and Adrian Raftery, with contributions by Chris Fraley.

References:

Wang, N. and Raftery. A.E. (December 2002). Nearest-neighbor variance estimation (NNVE):
 Robust covariance estimation via nearest-neighbor cleaning (with Discussion).
 Journal of the American Statistical Association 97(460): 994-1019.

Wang, N. and Raftery. A.E. (2000). Nearest-neighbor variance estimation (NNVE):
 Robust covariance estimation via nearest-neighbor cleaning.
 Technical Report no. 368, Department of Statistics, University of Washington.
 Available at www.stat.washington.edu/www/research/reports


 -------------------------------------------------------------------
 Adrian E. Raftery
 Professor of Statistics and Sociology
 Director, Center for Statistics and the Social Sciences
 University of Washington, Box 354320	 Phone: (206) 543-4505
 Seattle, WA 98195-4320.		 FAX:   (206) 221-6873
 Web: www.stat.washington.edu/raftery;   www.csss.washington.edu
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