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Fast weighted bootstrap alternative to the parametric bootstrap procedure for the Generalized Pareto score test.
gpdMultScore(data, bootnum, information = c("expected", "observed"))
Data should be in vector form.
Number of bootstrap replicates.
To use expected (default) or observed information in the test.
Test statistic.
P-value for the test.
Value of theta used in the test.
# NOT RUN { x <- rgpd(100, loc = 0, scale = 1, shape = 0.25) gpdMultScore(x, bootnum = 1000) # }
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