README.md
In JacobRaymond/ConquerMCMC: Divide and Conquer Algorithms for Markov Chain Monte Carlo
ConquerMCMC
The final project for the University of Waterloo course STAT840, which I completed during the Winter 2020 semester. Comprised of an R package (ConquerMCMC) implementing three divide-and conquer algorithms for Markov Chain Monte Carlo (MCMC): the consensus MCMC, the M-Posterior, and the scaled subprior model. See documentation for references.
JacobRaymond/ConquerMCMC documentation built on May 12, 2020, 1:03 a.m.
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ConquerMCMC
The final project for the University of Waterloo course STAT840, which I completed during the Winter 2020 semester. Comprised of an R package (ConquerMCMC) implementing three divide-and conquer algorithms for Markov Chain Monte Carlo (MCMC): the consensus MCMC, the M-Posterior, and the scaled subprior model. See documentation for references.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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