splitPIP: Calculates the posterior inclusion probability (PIP).
In dlmtree: Bayesian Treed Distributed Lag Models
splitPIP R Documentation
Calculates the posterior inclusion probability (PIP).
Description
Calculates the posterior inclusion probability (PIP).
Usage
splitPIP(dlnm, nlags, niter)
Arguments
dlnm
A numeric matrix containing the model fit information
nlags
total number of lags
niter
number of mcmc iterations
Value
A matrix of split counts per mcmc
dlmtree documentation built on Feb. 3, 2026, 9:07 a.m.
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| splitPIP | R Documentation |
Calculates the posterior inclusion probability (PIP).
Description
Calculates the posterior inclusion probability (PIP).
Usage
splitPIP(dlnm, nlags, niter)
Arguments
dlnm |
A numeric matrix containing the model fit information |
nlags |
total number of lags |
niter |
number of mcmc iterations |
Value
A matrix of split counts per mcmc
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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