Hello all,
Is there a way in R to compute the multivariate normal density of every pair of
entries in a vector efficiently instead of using for loop?
For example
Suppose I have a vector a=c(v_1,...,v_p)=c(0.5343909, -0.7784353, -0.0568370,
1.8772838, -1.3183407, 0.8227418,...)
I want to compute density(v_i, v_j) for every pair of entries (i,j) (i!=j) in
a. The joint bivariate distribution is known to be the same for each pair.
Thanks a lot!
Ivon
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