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I have a data series, where fitting power law distribution with R to data with following code I obtained alpha=1.97 and xmin=0.15. pl_m= conpl$new(data) est = estimate_xmin(pl_m) when I run bootstrap to test the power law hypothesis by the bs_p = bootstrap_p(pl_m) function,the function provide p-value of the given xmin that was obtained from pl_m= conpl$new(S),(here xmin=0.15). But based on Hill plot I found another point estimate for alpha(2.12) and xmin=0.44. Now using bootstrap_p how can I find the corresponding p-value for xmin=0.44, alpha=2.12?

I need to now the corresponding p-value of point estimate alpha and xmin which obtained visually from Hill plot.

Neda Fathi
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  • Please make your post [reproducible](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) and include any data you have and any code you've written so far. – jrcalabrese Nov 21 '22 at 02:14

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