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.