Division of Evolutionary Biology, Ludwig-Maximilians-Universität, München, Germany.
Department of Integrative Biology, University of California, Berkeley, CA.
Mol Biol Evol. 2018 Apr 1;35(4):1028-1034. doi: 10.1093/molbev/msx286.
Tests of absolute model fit are crucial in model-based inference because poorly structured models can lead to biased parameter estimates. In Bayesian inference, posterior predictive simulations can be used to test absolute model fit. However, such tests have not been commonly practiced in phylogenetic inference due to a lack of convenient and flexible software. Here, we describe our newly implemented tests of model fit using posterior predictive testing, based on both data- and inference-based test statistics, in the phylogenetics software RevBayes. This new implementation makes a large spectrum of models available for use through a user-friendly and flexible interface.
在基于模型的推断中，绝对模型拟合检验至关重要，因为结构不良的模型可能导致参数估计有偏差。在贝叶斯推断中，可以使用后验预测模拟来检验绝对模型拟合。然而，由于缺乏方便灵活的软件，此类检验在系统发育推断中并未得到广泛应用。在这里，我们在系统发育软件 RevBayes 中描述了基于数据和基于推断的检验统计量的后验预测检验的新拟合度检验，新的实现使得通过用户友好和灵活的界面可以使用大量的模型。
