bayesFactor: Compute the Bayes factor
In CNPBayes: Bayesian mixture models for copy number polymorphisms
Description
Calculated as log(ML1) - log(ML2) + log prior odds
where ML1 is the marginal likelihood of the model with the most free parameters
Usage
1
bayesFactor(model.list, prior.odds = 1)
Arguments
model.list
list of models from gibbs
prior.odds
scalar
CNPBayes documentation built on May 6, 2019, 4:06 a.m.
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Description
Calculated as log(ML1) - log(ML2) + log prior odds where ML1 is the marginal likelihood of the model with the most free parameters
Usage
1 | bayesFactor(model.list, prior.odds = 1)
|
Arguments
model.list |
list of models from |
prior.odds |
scalar |
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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