CredibleSet: Infer credible sets of predictors
In pjnewcombe/R2BGLiMS: R interface to the java package BGLiMS (Bayesian Generalised Linear Model Selection).
Description
Usage
Arguments
Value
Author(s)
Description
Infer credible sets of predictors from a Reversible Jump Results object.
Usage
1
CredibleSet(results, credible.percentile.threshold = 0.95)
Arguments
results
A R2BGLiMS_Results-class object frum running the R2BGLiMS command.
credible.percentile.threshold
Percentile to determine credible set for (default 0.95 for a 95% Credible Set).
Value
List of variables included in the credible set.
Author(s)
Paul Newcombe
pjnewcombe/R2BGLiMS documentation built on Feb. 10, 2020, 8:52 p.m.
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Description Usage Arguments Value Author(s)
Description
Infer credible sets of predictors from a Reversible Jump Results object.
Usage
1 | CredibleSet(results, credible.percentile.threshold = 0.95)
|
Arguments
results |
A |
credible.percentile.threshold |
Percentile to determine credible set for (default 0.95 for a 95% Credible Set). |
Value
List of variables included in the credible set.
Author(s)
Paul Newcombe
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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