hBayesDM: HDIofMCMC – R documentation

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HDIofMCMC

Compute Highest-Density Interval

Description

Computes the highest density interval from a sample of representative values, estimated as shortest credible interval. Based on John Kruschke's codes.

Usage

HDIofMCMC(sampleVec, credMass = 0.95)

Arguments

`sampleVec`	A vector of representative values from a probability distribution (e.g., MCMC samples).
`credMass`	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

hBayesDM

Hierarchical Bayesian Modeling of Decision-Making Tasks

v1.1.1

GPL-3

Authors

Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]

Initial release

2021-05-04