Maximum likelihood parameter estimation and Akaike information criterion (AIC) values used to select the best model of speciation rate based on the Bayesian consensus tree.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Maximum_likelihood_parameter_estimation_and_Akaike_information_criterion_AIC_values_used_to_select_the_best_model_of_speciation_rate_based_on_the_Bayesian_consensus_tree_/329493
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资源简介：
Df = Degrees of freedom of each model; lnLik = Natural logarithm of Maximum Likelihood; AIC = Akaike information criterion; ChiSq = Chi Square value; Drift = tendency of body size evolution; and Pr(>[Chi]) = Chi-square probability value.
创建时间：
2015-12-02
