A function that takes the output of a kappa, lambda, delta, VRates etc. RJ bayesTraits run and runs post-processing on it.
1 2 | localscalarPP2(rjlog, rjtrees, tree, burnin = 0, thinning = 1,
meanbranches = TRUE, ratestable = TRUE)
|
rjlog |
The RJ output of the run - typically suffixed with .VarRates.txt |
tree |
The tree the analysis was run on |
burnin |
The burnin (if required) for the mcmc (generally worked out from the other logfile) |
thinning |
Thinning parameter for the MCMC output - again, worked out from the raw MCMC output logfile. |
returnscales |
Return full distributions of all scalar values that hit each node? |
returnorigins |
Return a list of the values of each scalar that originates at each node per iteration? |
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