Computes the most frequent ancestor for each case across the posterior sample.
Examples
get_consensus(out)
#> from to frequency
#> 1 <NA> 1 1.0000000
#> 2 9 10 0.9950249
#> 3 7 11 0.8109453
#> 4 8 12 0.8358209
#> 5 9 13 1.0000000
#> 6 5 14 0.9900498
#> 7 5 15 0.7263682
#> 8 7 16 0.9950249
#> 9 7 17 0.9701493
#> 10 8 18 0.9651741
#> 11 9 19 1.0000000
#> 12 1 2 1.0000000
#> 13 10 20 1.0000000
#> 14 11 21 1.0000000
#> 15 11 22 1.0000000
#> 16 13 23 1.0000000
#> 17 13 24 1.0000000
#> 18 13 25 1.0000000
#> 19 17 26 0.9751244
#> 20 17 27 1.0000000
#> 21 <NA> 28 1.0000000
#> 22 10 29 1.0000000
#> 23 2 3 1.0000000
#> 24 13 30 1.0000000
#> 25 <NA> 4 1.0000000
#> 26 3 5 1.0000000
#> 27 10 6 0.9950249
#> 28 4 7 1.0000000
#> 29 5 8 0.9601990
#> 30 4 9 0.9502488