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polyapost (version 1.7-1)
Simulating from the Polya Posterior
Description
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).
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1.7-1
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Install
install.packages('polyapost')
Monthly Downloads
277
Version
1.7-1
License
GPL (>= 2)
Maintainer
Glen Meeden
Last Published
September 25th, 2024
Functions in polyapost (1.7-1)
Search all functions
feasible
Feasible Solution for a Probability Distribution which must Satisfy a System of Linear Equality and Inequality Constraints.
constrppmn
Estimating a Population Mean Using the Constrained Polya Posterior.
hitrun
Hit and Run Algorithm for Constrained Dirichlet Distribution
polyap
Polya Sampling from an Urn
wtpolyap
Polya Sampling from an Urn with Possibly Unequal Weights
constrppprob
Dependent Sampling from the Uniform Distribution on a Polytope.
