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Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).
Package details |
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Author | Glen Meeden [aut, cre], Radu Lazar [aut], Charles J. Geyer [aut] |
Maintainer | Glen Meeden <gmeeden@umn.edu> |
License | GPL (>= 2) |
Version | 1.7-1 |
Package repository | View on CRAN |
Installation |
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