HDIofMCMC: Highest Density Interval
In ndbrown6/lazypuppy: Doing Bayesian Data Analysis 2nd Edition
Description
Usage
Arguments
Value
Author(s)
Description
Computes highest density interval from a sample of representative values estimated as the
shortest credible interval
Usage
1
HDIofMCMC(x, HDI)
Arguments
x
vector of representative values from a probability distribution
HDI
scalar between 0 and 1 indicating the mass within the credible interval that is
to be estimated
Value
Invisibly a vector containing the limits of the HDI
Author(s)
David Brown
brownd7@mskcc.org
ndbrown6/lazypuppy documentation built on Sept. 14, 2020, 7:33 a.m.
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Description Usage Arguments Value Author(s)
Description
Computes highest density interval from a sample of representative values estimated as the shortest credible interval
Usage
1 | HDIofMCMC(x, HDI)
|
Arguments
x |
vector of representative values from a probability distribution |
HDI |
scalar between 0 and 1 indicating the mass within the credible interval that is to be estimated |
Value
Invisibly a vector containing the limits of the HDI
Author(s)
David Brown
brownd7@mskcc.org
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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