hpd: Compute a highest posterior density (HPD) interval.
In goweragreement: Bayesian Gower Agreement for Categorical Data
hpd R Documentation
Compute a highest posterior density (HPD) interval.
Description
Compute a highest posterior density (HPD) interval.
Usage
hpd(x, alpha = 0.05)
Arguments
x
the posterior sample.
alpha
the desired significance level.
Details
This function uses a given posterior sample to compute an HPD interval at a given significance level.
Value
A 2-vector containing the lower endpoint and the upper endpoint, respectively.
goweragreement documentation built on Sept. 11, 2024, 7:20 p.m.
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| hpd | R Documentation |
Compute a highest posterior density (HPD) interval.
Description
Compute a highest posterior density (HPD) interval.
Usage
hpd(x, alpha = 0.05)
Arguments
x |
the posterior sample. |
alpha |
the desired significance level. |
Details
This function uses a given posterior sample to compute an HPD interval at a given significance level.
Value
A 2-vector containing the lower endpoint and the upper endpoint, respectively.
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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