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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.