pip: Posterior inclusion probabilities from a spike-and-slab fit
In smoothbp: Hierarchical Piecewise Regression with Smoothed Change-Points
View source: R/postprocess_ss.R
pip R Documentation
Posterior inclusion probabilities from a spike-and-slab fit
Description
Posterior inclusion probabilities from a spike-and-slab fit
Usage
pip(object, ...)
Arguments
object
A smoothbp_ss_fit object.
...
Ignored.
Value
A named numeric vector of posterior inclusion probabilities (PIPs)
for each b2 coefficient that had a spike-and-slab prior.
smoothbp documentation built on June 14, 2026, 9:06 a.m.
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View source: R/postprocess_ss.R
| pip | R Documentation |
Posterior inclusion probabilities from a spike-and-slab fit
Description
Posterior inclusion probabilities from a spike-and-slab fit
Usage
pip(object, ...)
Arguments
object |
A |
... |
Ignored. |
Value
A named numeric vector of posterior inclusion probabilities (PIPs) for each b2 coefficient that had a spike-and-slab prior.
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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