Table 1 Performance of Fit∂a∂i on simulated data sets
Demographynchrα (shape)β (scale)0 ≤ |s| < 10−510−5 ≤ |s| < 10−410−4 ≤ |s| < 10−310−3 ≤ |s| < 10−210−2 ≤ |s|
Truea0.1843266b0.1820.0960.1460.2190.357
Constant size25960.180 ± 0.0103712.2 ± 980.20.186 ± 0.0090.095 ± 0.0020.144 ± 0.0060.213 ± 0.0130.363 ± 0.016
240.185 ± 0.0283613.1 ± 4196.70.182 ± 0.0170.097 ± 0.0090.148 ± 0.0230.221 ± 0.0430.353 ± 0.060
Two-fold expansion25960.191 ± 0.0072606.0 ± 410.70.178 ± 0.0080.098 ± 0.0020.152 ± 0.0040.230 ± 0.0090.341 ± 0.010
240.187 ± 0.0233259.8 ± 2612.60.181 ± 0.0160.097 ± 0.0080.149 ± 0.0190.223 ± 0.0360.350 ± 0.050
LuCamp25960.182 ± 0.0083411.9 ± 558.50.184 ± 0.0080.096 ± 0.0010.145 ± 0.0040.216 ± 0.0080.358 ± 0.009
240.186 ± 0.0273435.4 ± 3249.90.182 ± 0.0170.097 ± 0.0090.148 ± 0.0220.222 ± 0.0420.351 ± 0.060
  • 95% intervals were estimated as ± 1.96 SD of 100 replicates in each simulation set. chr, chromosome.

  • a Values show the true DFE used to simulate the data.

  • b Here the simulation was scaled to an ancestral population size of N = 10,085 diploids.