HDIofMCMC: Functions for computing limits of HDI's: Computes highest...
In kyusque/DBDA2E-utilities: Packaged One for DBDA2E-utilities.R in 'Kruschke, J. K. (2015). Doing Bayesian Data Analysis, Second Edition'
Description
Usage
Arguments
Value
Description
Functions for computing limits of HDI's: Computes highest density interval from a sample of representative values, estimated as shortest credible interval.
Usage
1
HDIofMCMC(sampleVec, credMass = 0.95)
Arguments
sampleVec
a vector of representative values from a probability distribution.
credMass
is a scalar between 0 and 1, indicating the mass within the credible interval that is to be estimated.
Value
a vector containing the limits of the HDI
kyusque/DBDA2E-utilities documentation built on May 5, 2019, 1:37 p.m.
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Description Usage Arguments Value
Description
Functions for computing limits of HDI's: Computes highest density interval from a sample of representative values, estimated as shortest credible interval.
Usage
1 | HDIofMCMC(sampleVec, credMass = 0.95)
|
Arguments
sampleVec |
a vector of representative values from a probability distribution. |
credMass |
is a scalar between 0 and 1, indicating the mass within the credible interval that is to be estimated. |
Value
a vector containing the limits of the HDI
R Package Documentation
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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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