compute_marg_lik: Compute marginal information criteria for some bayesian...
In cfhammill/hierarchyTrees: Code for testing taxonomy tree models
Description
Compute marginal information criteria for some bayesian linear models
Usage
1
compute_marg_lik(model, data, marginalize, quadrature_nodes = 11, ...)
Arguments
model
The model result (stanfit, stanreg)
data
the input data used to fit the model (if not included in the model
object.
marginalize
the random effect to marginalize over
quadrature_nodes
the number of nodes to integrate over
...
extra parameters for methods
cfhammill/hierarchyTrees documentation built on Feb. 8, 2020, 2:54 a.m.
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Description
Compute marginal information criteria for some bayesian linear models
Usage
1 | compute_marg_lik(model, data, marginalize, quadrature_nodes = 11, ...)
|
Arguments
model |
The model result (stanfit, stanreg) |
data |
the input data used to fit the model (if not included in the model object. |
marginalize |
the random effect to marginalize over |
quadrature_nodes |
the number of nodes to integrate over |
... |
extra parameters for methods |
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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