Asymptotic CDF for a given statistic
1 | null.lim.cdf(stat, forceUseECDF = FALSE)
|
stat |
statistic |
forceUseECDF |
if true, - if stat is loglik_mean.brownianbridge, use the Anderson-Darling CDF #NO - if stat is var.brownianbridge, use the Cramer von Mises CDF - if stat is extremum.brownianbridge, use the Kolmogorov-Smirnov CDF #NO - if stat is ratio_loglik_extremum.brownianbridge, use the chi-square (3 freedom degrees) CDF - if stat is ratio_extremum.brownianbridge, use the Bay CDF else, use tabulated empirical CDF built on white noise process (length 10000) |
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