A RCpp package for fast implementation of standard MCMC and TMCMC methods, along with their adaptive versions and Metropolis coupling versions.

tmcmcR: package for MCMC with improved acceptance rate and coverage

R package for clustering counts data

TMCMC are a set of sampling schemes that proposed as an alternative to the Random Walk Metropolis Hastings algorithm. TMCMC is computationally fast and has better acceptance rate and better coverage of state space compared to the usual RWMH or Metropolis Hastings algorithm.