Published July 1, 2005
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Table 4 in The geography of diversification in the mormoopids (Chiroptera: Mormoopidae)
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Table 4. Models of molecular evolution and parameters selected for each molecular data set (see Table 2 for sequences)
| Data | Model | R -matrix | α | I | −2logΛ | d.f. | P |
|---|---|---|---|---|---|---|---|
| ML mtrDNA | GTR+I+Γ | 1.0, 3.3, 1.0, 1.0, 10.7 | 0.4090 | 0.3347 | 24.2 | 16 | > 0.05 |
| Bayes mtrDNA | GTR+I+Γ | 7.9 (3.6–13.8), 12.2 | 0.421 (0.260–0.599) | 0.296 (0.156–0.426) | – | – | – |
| (5.6–20.9), 5.5 | |||||||
| (2.5–9.6), 0.3 | |||||||
| (0.0–1.0), 48.3 | |||||||
| (23.1–83.0) | |||||||
| ML cyt b | GTR+I+Γ | 0.5, 9.7, 0.5, 0.3, 10.4 | 0.9773 | 0.5040 | 52.4 | 43 | > 0.05 |
| Bayes cyt b | GTR+I+Γ | 0.7 (0.1–1.7), 13.8 | 0.851 (0.647–1.068) | 0.507 (0.470–0.544) | – | – | – |
| (3.9–32.4), 0.9 | |||||||
| (0.0–2.4), 0.7 | |||||||
| (0.0–2.0), 21.1 | |||||||
| (5.3–51.7) | |||||||
| ML Rag 2 | GTR+Γ | 1.0, 5.1, 1.0, 1.0, 7.8 | 0.2433 | – | 26.2 | 18 | > 0.05 |
| Bayes Rag 2 | GTR+Γ | 3.1 (1.1–5.7), 8.8 | 0.265 (0.146–0.393) | – | – | – | – |
| (3.7–15.5), 1.0 | |||||||
| (0.2–1.9), 2.1 | |||||||
| (0.6–4.2), 13.3 | |||||||
| (5.5–26.6) | |||||||
| ML molecular | GTR+I+Γ | 6.5, 11.7, 4.1, 1.0, | 0.4505 | 0.3820 | 43.1 | 16 | <0.001 |
| 37.0 |
Bayes, parameters used in Bayesian analysis of concatenated data; GTR, general time reversible model; ML, parameters used in maximum likelihood analyses; R -matrix, rate matrix parameter (with respect to G-T transversion); α, shape parameter, I, proportion of invariant sites; –2logΛ, 2[log L 1 − log L 2], where L 1 = likelihood without clock and L 2 = likelihood with clock. Parameters obtained from Bayesian analyses are followed by the 95% confidence interval (in parentheses)
Notes
Published as part of DÁVALOS, LILIANA M., 2006, The geography of diversification in the mormoopids (Chiroptera: Mormoopidae), pp. 110 in Biological Journal of the Linnean Society 88 (1) on page 110, DOI: 10.1111/j.1095-8312.2006.00605.x, http://zenodo.org/record/7845511
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