Function reference • fmcmc

All functions
`MCMC()` `MCMC_without_conv_checker()` `MCMC_OUTPUT`	Markov Chain Monte Carlo
`append_chains()`	Append MCMC chains (objects of class coda::mcmc)
`check_initial()`	Checks the initial values of the MCMC
`LAST_CONV_CHECK` `convergence_data_set()` `convergence_data_get()` `convergence_msg_set()` `convergence_msg_get()` `convergence_gelman()` `convergence_geweke()` `convergence_heildel()` `convergence_auto()`	Convergence Monitoring
`cov_recursive()` `mean_recursive()`	Recursive algorithms for computing variance and mean
`last_elapsed()` `LAST_MCMC` `last_nsteps()` `last_nchains()` `last_kernel()` `last_conv_checker()` `last_()`	Deprecated methods in fmcmc
`fmcmc` `fmcmc-package`	A friendly MCMC framework
`kernel_adapt()` `kernel_am()`	Adaptive Metropolis (AM) Transition Kernel
`kernel_nmirror()` `kernel_umirror()`	Mirror Transition Kernels
`kernel_new()`	Transition Kernels for MCMC
`kernel_normal()` `kernel_normal_reflective()`	Gaussian Transition Kernel
`kernel_ram()`	Robust Adaptive Metropolis (RAM) Transition Kernel
`kernel_unif()` `kernel_unif_reflective()`	Uniform Transition Kernel
`lifeexpect`	Life expectancy in the US (2020)
`ith_step()` `set_userdata()` `get_userdata()`	Functions to interact with the main loop
`get_()` `get_logpost()` `get_draws()` `get_elapsed()` `get_initial()` `get_fun()` `get_nsteps()` `get_seed()` `get_nchains()` `get_burnin()` `get_thin()` `get_kernel()` `get_multicore()` `get_conv_checker()` `get_cl()` `get_progress()` `get_chain_id()`	Information about the last `MCMC` call
`new_progress_bar()`	Progress bar
`plan_update_sequence()`	Parameters' update sequence
`reflect_on_boundaries()`	Reflective Boundaries

Reference

All functions