Summary Statistics
收藏DataONE2014-05-12 更新2024-06-27 收录
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The ABC-SMC model-fitting algorithm used the following nine metrics. The values for each metrics for the 60 genera are provided. The ABC-SMC algorithm, in particular the box-cox correction and PLS regression, performs best on continuous metrics, which is why we did not use the number of species in each ploidal class as metrics. Despite the reduced performance of categorical metrics, we included the highest observed ploidal level because it was highly informative for parameter inference. (1) Total genus size (2) Proportion diploids (3) Proportion tetraploids (4) Proportion species > = 4n (5) Proportion species > = 6n (6) Highest ploidal level observed (7) Proportion highest observed ploidal level (8) Average ploidy level (9) Variance in ploidy level.
创建时间：
2014-05-12
