boosted | MCMC Weighing with the M-Posterior Method |
chain.mcmc | Parallel MCMC on Subsets |
ConquerMCMC-package | ConquerMCMC: Divide and Conquer Algorithms for Markov Chain... |
consensus | MCMC Weighing with the Consensus Monte Carlo Method |
mcmc | Metropolis-Hastings Sampler |
mcmc.sub | Metropolis-Hastings Sampler Adapted for Divide-and-Conquer... |
mpost | M-Posterior Algorithm for Parameter Estimation |
rf.chains | Scaled Subposterior Parallelization for Parameter Estimation |
rf.weight | MCMC Weighing for the Scaled Subprior Algorithm |
subprior | Consensus Algorithm for Parameter Estimation |
workers | Segment a data set into subsets |
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