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Table 2 Results of a linear regression applied to real trait data (leaf tissue density and stem density for 200 rainforest plant species), with (PL) or without (LR) an extra parameter  λ  to quantify the strength of phylogenetic signal in the Y-axis trait

From: Bayesian models for comparative analysis integrating phylogenetic uncertainty

  LR model PL model
Parameter GLS Bayesian (AT) GLS Bayesian (AT)
β 0 -1.07 (0.47) -0.70 (0.31) -0.75 (0.14) -0.50 (0.11)
β 1 0.31 (0.13) 0.62 (0.10) 0.55 (0.11) 0.58 (0.11)
λ 0.24 (-0.12, 0.63) 0.82 (0.13)
σ 1.18 0.70 (0.074) 0.33 0.77 (0.095)
ppp-value 0.545 0.9974
  1. Values are: mean (standard deviation), except for λ, which is mean (95% Confidence limits). The value σfor the gls() function is the residual standard error.