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Table 2 Summary of sensitivity (true positive rate ± SD) and type I error rate (false positive rate ± SD) for outlier methods tested with 100 simulated data for three regimes of divergent selection

From: AFLPsim: an R package to simulate and detect dominant markers under selection in hybridizing populations

Method

Weak selection (s = 2.162)

Strong selection (s = 99)

Very strong selection (s = 999)

 

Sensitivity

Type I error

Sensitivity

Type I error

Sensitivity

Type I error

bal&gar-ca

0.124 ± 0.039

0.000 ± 0.000

0.479 ± 0.050

0.000 ± 0.000

0.487 ± 0.049

0.000 ± 0.000

Gagnaire et al.’s

0.572 ± 0.052

0.147 ± 0.012

0.621 ± 0.048

0. 149 ± 0.012

0.619 ± 0.049

0.147 ± 0.013

introgress

0.454 ± 0.034

0.127 ± 0.015

0.717 ± 0.061

0.126 ± 0.010

0.723 ± 0.052

0.128 ± 0.014

Bayescan

0.025 ± 0.021

0.029 ± 0.001

0.035 ± 0.019

0.012 ± 0.004

0.080 ± 0.019

0.037 ± 0.005