doBML: Function to approximate Bayesian model probability using...
In josteist/Compadre: Analysis of Macroevolutionary Rates of Speciation, Extinction and Sampling using Capture-Mark-Recapture techniques
Description
Function to approximate Bayesian model probability using importance sampling.
The output logBML is approximating the Bayesian factor integral, and the support for one model over another, given the same data (i.e. the Bayes factor), can be approximated by exp(logBML[1] - logBML[2])
Usage
1
doBML(cmrfit, ndraws = 10000)
Arguments
cmrfit
A fit of a model using Compadre. The function extracts the Bayesian probability density function and uses the last half of the chain.
ndraws
number of samples to use to approximate the Bayesian model probability
josteist/Compadre documentation built on June 3, 2021, 1:02 p.m.
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Description
Function to approximate Bayesian model probability using importance sampling. The output logBML is approximating the Bayesian factor integral, and the support for one model over another, given the same data (i.e. the Bayes factor), can be approximated by exp(logBML[1] - logBML[2])
Usage
1 | doBML(cmrfit, ndraws = 10000)
|
Arguments
cmrfit |
A fit of a model using Compadre. The function extracts the Bayesian probability density function and uses the last half of the chain. |
ndraws |
number of samples to use to approximate the Bayesian model probability |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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