View source: R/autocorrelation_bound_functions.R
B_h_bound | R Documentation |
'B_h_bound' Computes an approximate asymptotic upper 1-alpha confidence bound for the functional autocorrelation coefficient at lag h under a weak white noise assumption.
B_h_bound(f_data, lag, alpha = 0.05, M = NULL)
f_data |
the functional data matrix with observed functions in the columns |
lag |
the lag to use to compute the single lag test statistic |
alpha |
the significance level to be used in the hypothesis test |
M |
Number of samples to take when applying a Monte-Carlo approximation |
numeric value; the 1-alpha confidence bound for the functional autocorrelation coefficient at lag h under a weak white noise assumption.
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