Find best tau to initialise chains with by sampling tau from the prior and using empirical Bayes parameter estimates for the other parameters.
1 2 | find.best.tau(dl, num.tau.candidates = 6000,
num.tau.to.keep = num.cores, num.cores = default.num.cores())
|
dl |
de.lorean object |
num.tau.candidates |
How many candidates to examine. Defaults to 6000. |
num.tau.to.keep |
How many candidates to keep. Defaults to num.cores. |
num.cores |
Number of cores to run on. Defaults to default.num.cores() |
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