1 | bbwcovm(J, K, L, x, tr = 0.2)
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J |
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K |
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L |
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x |
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tr |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (J, K, L, x, tr = 0.2)
{
p = J * K * L
idep = L
mat = matrix(0, nrow = p, ncol = p)
id = c(1:idep)
for (j in 1:J) {
for (k in 1:K) {
mat[id, id] = covmtrim(x[id], tr = tr)
id = id + idep
}
}
mat
}
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