<b>Distributions of likelihood ratios (δ) between BM and OU models based on 1,000 simulations using <i>pmc</i></b>. Brown histograms show the likelihood ratios between OU and BM for 1000 traits simulated under BM. Blue histograms show the likelihood ratios between OU and BM for 1000 traits simulated under OU. The red lines indicate the likelihood ratio between OU and BM fitted on the empirical traits. For body ratio and peduncle factor, the large overlap of likelihood ratios show that there is no sufficient statistical power to distinguish between models. For these traits we therefore chose the simplest model (BM). For the other traits the distributions of likelihood ratios are clearly distinct and the red line falls within the range of the...
<b>References of the samples used for estimating morphological rates above the species</b> level. (C...
Figure S2. Lobe morphology index of dorsal fin of clownfish species. Graphs representing the quantif...
<p>Note: np number of parameters, ln<i>L</i> ln[likelihood] value, 2Δ(ln<i>L</i>) twice the differen...
<b>Rates of morphological evolution at interspecific level can be estimated from simulations based o...
<b>Comparison between the microevolutionary rates, the macroevolution rates estimated from empirical...
<b>95% Confidence intervals around BM and OU parameters estimated on the consensus tree using <i>fit...
<b>Permutation tests suggesting that the number of individuals is sufficient to accurately estimate ...
<b>Rates of morphological evolution below the species level and confidence intervals obtained from d...
Table S3. Model fitting of the four striped pattern evolutionary models. Model fitting of the four s...
Table S2. Summary statistics of the stochastic mapping. Summary statistics of the stochastic mapping...
<b>Specificity tests showing that there is no link between micro and macroevolution if the effective...
<b>Median joining network analysis from POPART (Population Analysis with Reticulate Trees, Bandelt <...
<b>McDonald Kreitman test.</b> Number of neutral and non-neutral polymorphisms found at the intraspe...
In recent years, likelihood-based approaches have been used with increasing frequency to evaluate ma...
<p>Likelihood ratio test between the model of increased diversification of nymphalids feeding on Sol...
<b>References of the samples used for estimating morphological rates above the species</b> level. (C...
Figure S2. Lobe morphology index of dorsal fin of clownfish species. Graphs representing the quantif...
<p>Note: np number of parameters, ln<i>L</i> ln[likelihood] value, 2Δ(ln<i>L</i>) twice the differen...
<b>Rates of morphological evolution at interspecific level can be estimated from simulations based o...
<b>Comparison between the microevolutionary rates, the macroevolution rates estimated from empirical...
<b>95% Confidence intervals around BM and OU parameters estimated on the consensus tree using <i>fit...
<b>Permutation tests suggesting that the number of individuals is sufficient to accurately estimate ...
<b>Rates of morphological evolution below the species level and confidence intervals obtained from d...
Table S3. Model fitting of the four striped pattern evolutionary models. Model fitting of the four s...
Table S2. Summary statistics of the stochastic mapping. Summary statistics of the stochastic mapping...
<b>Specificity tests showing that there is no link between micro and macroevolution if the effective...
<b>Median joining network analysis from POPART (Population Analysis with Reticulate Trees, Bandelt <...
<b>McDonald Kreitman test.</b> Number of neutral and non-neutral polymorphisms found at the intraspe...
In recent years, likelihood-based approaches have been used with increasing frequency to evaluate ma...
<p>Likelihood ratio test between the model of increased diversification of nymphalids feeding on Sol...
<b>References of the samples used for estimating morphological rates above the species</b> level. (C...
Figure S2. Lobe morphology index of dorsal fin of clownfish species. Graphs representing the quantif...
<p>Note: np number of parameters, ln<i>L</i> ln[likelihood] value, 2Δ(ln<i>L</i>) twice the differen...