|
Bayesian parameter estimates |
||||||||
| Data Set |
Demographic Model |
log P(D|M)1 |
Neτ (years) |
r2 |
μ3 |
α4 |
κ |
tMRCA (years) |
|
|
||||||||
| Brown bear (d-loop) |
Constant* |
-2200 |
113,800 |
- |
5.68 × 10-7 |
0.243 |
41.8 |
153,500 |
| Exp. growth |
-2198 |
127,000 |
5.45 × 10-6 |
5.95 × 10-7 |
0.243 |
41.7 |
145,100 |
|
| HRSV (g gene) |
Constant* |
-6068 |
36.3 |
- |
0.00242 |
0.900 |
12.4 |
56.1 |
| Exp. growth |
-6070 |
53.0 |
0.0263 |
0.00239 |
0.900 |
12.4 |
55.8 |
|
| Dengue-4 (E gene) |
Constant |
-3960 |
11.2 |
- |
0.000976 |
0.167 |
17.3 |
19.7 |
| Exp. growth* |
-3952 |
38.9 |
0.134 |
0.00096 |
0.167 |
17.2 |
19.0 |
|
| Influenza A (HA) |
Constant* |
-4386 |
4.3 |
- |
0.00503 |
0.332 |
5.49 |
19.0 |
| Exp. growth |
-4383 |
7.25 |
0.0681 |
0.00506 |
0.332 |
5.5 |
18.9 |
|
|
Posterior parameter estimates from the MCMC analyses. The effective population size is reported only as a product with generation time (Neτ) and the compound parameter has unit of years for virus data sets and radiocarbon years for the brown bear data set. Posterior means are reported for all model parameters. For each data set, the demographic model chosen by a Bayes factor is marked (*). 1marginal likelihood, 2exponential growth rate, 3substitution rate, 4shape parameter of the Γ-distribution. | ||||||||
Drummond and Suchard BMC Genetics 2008 9:68 doi:10.1186/1471-2156-9-68 |
||||||||