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2013 May 08
0
how to get samples from rtmvnorm with large dimensions
...ction, the dimension should be lower than 1000, So could you help me to find out if there's any solution could do such sampling from a truncated multivariate normal distribution with the sigma dimension is 2500*2500?? Here is parts of my code for sampling: rg[k,]<- rtmvnorm(n=1, as.vector(SG1u), SG1, lower=rep(0,2500), upper=rep(Inf,2500), algorithm="rejection") and the error information is: "Error: mvt(lower = lower, upper = upper, df = 0, corr = corr, delta = mean, : only dimensions 1 <= n <= 1000 allowed" Thanks a lot. [[alternative HTML version dele...