| Literature DB >> 28087773 |
Dan L Warren1, Anthony J Geneva2, Robert Lanfear1,3.
Abstract
Bayesian inference using Markov chain Monte Carlo (MCMC) has become one of the primary methods used to infer phylogenies from sequence data. Assessing convergence is a crucial component of these analyses, as it establishes the reliability of the posterior distribution estimates of the tree topology and model parameters sampled from the MCMC. Numerous tests and visualizations have been developed for this purpose, but many of the most popular methods are implemented in ways that make them inconvenient to use for large data sets. RWTY is an R package that implements established and new methods for diagnosing phylogenetic MCMC convergence in a single convenient interface.Keywords: MCMC; convergence; phylogenetics; stationarity; topology
Mesh:
Year: 2017 PMID: 28087773 DOI: 10.1093/molbev/msw279
Source DB: PubMed Journal: Mol Biol Evol ISSN: 0737-4038 Impact factor: 16.240