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This function computes the score of best lags by summing the correlation of corresponding lags
score(corr, lags)
a vector of computed correlation
a vector of same length with corr that holds the lags corresponding to the corr vector
a numerical value of best lag picked based on corr and lags
# NOT RUN { score(runif(10, 0, 1), c(2, 0, 0, 0, 3, 2, -1, 2, 0, 1)) score(runif(20, 0.5, 0.8), sample(-3:3, size = 20, replace = TRUE)) # }
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