eva (version 0.2.6)

gevrMultScore: GEVr Multiplier Score Test

Description

Fast weighted bootstrap alternative to the parametric bootstrap procedure for the GEVr score test.

Usage

gevrMultScore(data, bootnum, information = c("expected", "observed"))

Arguments

data

Data should be contain n rows, each a GEVr observation.

bootnum

Number of bootstrap replicates.

information

To use expected (default) or observed information in the test.

Value

statistic

Test statistic.

p.value

P-value for the test.

theta

Value of theta used in the test.

Details

GEVr data (in matrix x) should be of the form \(x[i,1] > x[i, 2] > \cdots > x[i, r]\) for each observation \(i = 1, \ldots, n\).

References

Bader B., Yan J., & Zhang X. (2015). Automated Selection of r for the r Largest Order Statistics Approach with Adjustment for Sequential Testing. Department of Statistics, University of Connecticut.

Examples

# NOT RUN {
x <- rgevr(500, 5, loc = 0.5, scale = 1, shape = 0.3)
result <- gevrMultScore(x, bootnum = 1000)
# }