library(Rfast)
n <- 800 # number of samples
p <- 200 # number of features
# create correlation matrix
Sigma <- autocorr.mat(p, .9)
# draw data from correlation matrix Sigma
Y <- rmvnorm(n, rep(0, p), sigma = Sigma * 5.1, seed = 1)
# eclairs decomposition
ecl <- eclairs(Y)
# return scalar
quadForm(ecl, Y[1, ])
# return matrix
quadForm(ecl, Y[1:2, ])
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