append_chains | Append MCMC chains (objects of class coda::mcmc) |
append_chains.default | Append MCMC chains (objects of class coda::mcmc) |
append_chains.mcmc | Append MCMC chains (objects of class coda::mcmc) |
append_chains.mcmc.list | Append MCMC chains (objects of class coda::mcmc) |
automatic-stop | Convergence Monitoring |
check_initial | Checks the initial values of the MCMC |
convergence-checker | Convergence Monitoring |
convergence_auto | Convergence Monitoring |
convergence_gelman | Convergence Monitoring |
convergence_geweke | Convergence Monitoring |
convergence_heildel | Convergence Monitoring |
cov_recursive | Recursive algorithms for computing variance and mean |
fmcmc | A friendly MCMC framework |
fmcmc_kernel | Transition Kernels for MCMC |
kernels | Transition Kernels for MCMC |
kernel_adapt | Adaptive Metropolis (AM) Transition Kernel |
kernel_am | Adaptive Metropolis (AM) Transition Kernel |
kernel_mirror | Mirror Transition Kernels |
kernel_new | Transition Kernels for MCMC |
kernel_nmirror | Mirror Transition Kernels |
kernel_normal | Gaussian Transition Kernel |
kernel_normal_reflective | Gaussian Transition Kernel |
kernel_ram | Robust Adaptive Metropolis (RAM) Transition Kernel |
kernel_umirror | Mirror Transition Kernels |
kernel_unif | Uniform Transition Kernel |
kernel_unif_reflective | Uniform Transition Kernel |
MCMC | Markov Chain Monte Carlo |
MCMC.default | Markov Chain Monte Carlo |
MCMC.mcmc | Markov Chain Monte Carlo |
MCMC.mcmc.list | Markov Chain Monte Carlo |
mean_recursive | Recursive algorithms for computing variance and mean |
Metropolis-Hastings | Markov Chain Monte Carlo |
new_progress_bar | Progress bar |
plan_update_sequence | Parameters' update sequence |
reflect_on_boundaries | Reflective Boundaries |