Rev Language Reference
mvEmpiricalTree - Move on an empirical tree distribution
An MCMC move that operates on empirical tree distributions.
Usage
Arguments
| tree : | Tree (<stochastic> pass by reference) |
| The stochastic tree variable on which this moves operates. | |
| metropolisHastings : | Bool (pass by value) |
| If TRUE, use the regular Metropolis-Hastings acceptance ratio. If FALSE, always accept this move and sample every tree uniformly. | |
| Default : TRUE | |
| weight : | RealPos (pass by value) |
| The weight determines the relative frequency with which this move will be attempted. For details, see the description of the 'moveschedule' parameter on the documentation page for 'mcmc()'. | |
| Default : 1 | |
| tuneTarget : | Probability (pass by value) |
| The acceptance probability targeted by auto-tuning. | |
| Default : 0.44 |
Example
# Read in tree trace
tree_trace = readTreeTrace("output/my.trees", burnin=0.25)
# Create a distribution of trees
tree ~ dnEmpiricalTree(tree_trace)
# Add an MCMC move
moves[1] = mvEmpiricalTree(tree)
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