getXmin2: Lower bound estimator for discrete powerlaw distributions

Description Usage Arguments References Examples

Description

Lower bound estimator for discrete powerlaw distributions based on the distances between probability mass functions.

Usage

1
getXmin2(o, g = 1, c = 90, k = 5, xmax = 1e+05)

Arguments

o

Discrete powerlaw object.

g

A guess on the true value of the lower bound.

c

Confidence on the guess. A value between 1 and 100. By default is set to 90.

k

Number of computations after a local minimum in the KS statistics is reached.

xmax

Max value considered in the estimation of the lower bound.

References

A. Bessi, Speeding up lower bound estimation in powerlaw distributions, arXiv

Examples

1
2
3
x = moby
o = displo(x)
est = getXmin2(o)


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