TABLE 1.
Parameters that were fitted through the MCMC procedure and their prior distributions
| Used in model | |||||||
|---|---|---|---|---|---|---|---|
| Parameter | Model averaging | Model selection | Probability matching | Forced fusion | Segregation | Switching | Prior distribution |
| pcommon | ✓ | ✓ | ✓ | U(0,1) | |||
| σ t | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Cau(2) |
| μ p | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | N(2,5) |
| σ p | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Cau(5) |
| wt | ✓ | U(0,1) | |||||
| pt | ✓ | U(0,1) | |||||
| lapse rate | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | U(0, .2) |
Note: The role of each parameter in the various models is described in the appendix. U(a,b): uniform distribution over the interval [a,b]; Cau(γ): half‐Cauchy distribution with scale parameter γ; N(μ,σ): normal distribution with mean μ and standard deviation σ. All lengths (σ t , μ p , σ p ) are taken in units of inter‐node distance (2.5 cm).