empiricalHpd: Construct an empirical HPD interval from samples
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Value
See Also
Description
Construct an empirical highest posterior density (HPD)
interval from samples which have been drawn from the
distribution of a quantity of interest.
Usage
1
empiricalHpd(theta, level)
Arguments
theta
the vector of samples
level
the credible level
Value
A vector with the estimated lower and upper bounds of the
HPD interval.
See Also
hypergsplines documentation built on May 2, 2019, 6:14 p.m.
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Description Usage Arguments Value See Also
Description
Construct an empirical highest posterior density (HPD) interval from samples which have been drawn from the distribution of a quantity of interest.
Usage
1 | empiricalHpd(theta, level)
|
Arguments
theta |
the vector of samples |
level |
the credible level |
Value
A vector with the estimated lower and upper bounds of the HPD interval.
See Also
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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