inclusionProbs: Compute posterior inclusion probabilites based on GlmBayesMfp...
In glmBfp: Bayesian Fractional Polynomials for GLMs
Description
Usage
Arguments
Value
Description
Compute (model averaged) posterior inclusion probabilites for the uncertain
variables (including FP variables) based on a GlmBayesMfp object.
Usage
1
2
3
4
inclusionProbs(
GlmBayesMfpObject,
postProbs = posteriors(GlmBayesMfpObject, type = "normalized")
)
Arguments
GlmBayesMfpObject
the GlmBayesMfp object
postProbs
the vector of posterior model probabilities, defaults to
the normalized probabilities in GlmBayesMfpObject
Value
the resulting inclusion probabilities vector
glmBfp documentation built on July 2, 2020, 2:30 a.m.
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Description Usage Arguments Value
Description
Compute (model averaged) posterior inclusion probabilites for the uncertain variables (including FP variables) based on a GlmBayesMfp object.
Usage
1 2 3 4 | inclusionProbs(
GlmBayesMfpObject,
postProbs = posteriors(GlmBayesMfpObject, type = "normalized")
)
|
Arguments
GlmBayesMfpObject |
the GlmBayesMfp object |
postProbs |
the vector of posterior model probabilities, defaults to
the normalized probabilities in |
Value
the resulting inclusion probabilities vector
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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