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Supports automated Markov chain Monte Carlo for arbitrarily structured correlation matrices. The user supplies data, a correlation matrix in symbolic form, the current state of the chain, a function that computes the log likelihood, and a list of prior distributions. The package's flagship function then carries out a parameter-at-a-time update of all correlation parameters, and returns the new state. The method is presented in Hughes (2023), in preparation.
Package details |
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Author | John Hughes [aut, cre] |
Maintainer | John Hughes <drjphughesjr@gmail.com> |
License | GPL (>= 2) |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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