Megh corr.matrix() in the 'emulator' package can calculate P-D variance matrices using any of a very broad class of methods.
HTH rksh Megh Dal wrote:
I want to generate a valid variance-covariance matrix. One way could be to generate some random sample from multivariate normal distribution and then calculate cov. matrix. Another way could be to sample from wishart distribution itself. However both cases need a valid i.e. PD covariance matrix. As I need to generate that covariance matrix only, I am not interested those two methods. Can anyone suggest me some other way out? Regards, ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- Robin K. S. Hankin Senior Research Associate Cambridge Centre for Climate Change Mitigation Research (4CMR) Department of Land Economy University of Cambridge [EMAIL PROTECTED] 01223-764877 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
