MIRES: dot-hdi – R documentation

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dot-hdi

Compute Highest Posterior Density intervals.

Compute Highest Posterior Density intervals.

.hdi(samps, prob, add_zero = FALSE)

`samps`	MCMC sample matrix.
`prob`	Numeric in (0,1).
`add_zero`	Logical (Default: FALSE) - Whether to add zero to samples. Useful for unidirectional effects.

Matrix of HDIs.

Stephen Martin

Measurement Invariance Assessment Using Random Effects Models and Shrinkage

v0.1.0

MIT + file LICENSE

Authors

Stephen Martin [aut, cre] (<https://orcid.org/0000-0001-8085-2390>), Philippe Rast [aut] (<https://orcid.org/0000-0003-3630-6629>)

Initial release