qlat_utils.rjk_err

qlat_utils.rjk_err(jk_arr, eps=1)[source]

Return

\[\frac{1}{eps} \sqrt{ 1/N \sum_{i=1}^N (jk[i] - jk_avg)^2 }.\]

Note: `` len(jk_arr) = N + 1. jk_avg = jk_arr[0] `` Same eps as the eps used in the jackknife function.