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I would like to combine time-series data to test for correlations and interactions using random and fixed effects meta-analysis. So, I am looking for the right packages and documentation. I know about meta and rmeta packages of R. Are there any more? What are the diffrences in brief? Can you please suggest some references that could be used as a guide for meta-analysis in R (or S-plus)?

Dear all, Does anyone have any idea on how to speed up the for() loop below. Currently it takes approximately 2 minutes and 30 seconds. Because of the size of Nsim and N, simulating a multivariate normal (instead of simulating Nsim times a vector of N normal distributions) would require too much memory space. Many thanks for your kind help, Simona N=3000 PD=runif(N,0,1) cutoff.=qnorm(PD)

Just got a pointer to this via ACM "TechNews Alert" for today: http://www.acm.org/technews/articles/2004-6/0818w.html#item2 Seems that "... French computer scientist Antoine Joux reported on Aug. 12 his discovery of a flaw in the MD5 algorithm, which is often used with digital signatures...." There's more in the article cited above. Peace, david -- David H. Wolfskill