Description Usage Arguments Value See Also Examples
Nonparametric onesample hypothesis testing via dynamic slicing with O(n)resolution. The basic idea of ds_eqp_1
is almost the same as ds_1
. Difference between these two functions is that ds_eqp_1
considers an equal partition on [0, 1] but ds_1
does not. Candidate slicing boundaries in ds_eqp_1
only depend on the total number of samples and are unrelated to sample quantiles. In ds_1
they are immediately to the left or right of sample quantile.
1  ds_eqp_1(y, lambda)

y 
Vector: quantiles of observations according to null distribution. 
lambda 

Value of dynamic slicing statistic for onesample test. It is nonnegative. The null hypothesis that observations are from the null distribution is rejected if this statistic is greater than zero, otherwise accept the null hypothesis.
ds_1
.
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