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pacfmat
pacfmat sequence of partial autocorrelation matrices and related statistics for a multivariate time series
pacfmat(y, lag.max)
multivariate time series
maximum number of lag
out list with components:
array with matrices of partial autocovariances divided by their standard error
array with indicators if partial autocovariances are significantly greater (+), lower (-) than the critical value or insignificant (.)
array with matrices of partial autocovariances
matrix of diagonals of residual covariances (row-wise)
test statistic
p value of test
# NOT RUN { data(ICECREAM) out <- pacfmat(ICECREAM,7) # }
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