Steven Sanderson performs some sampling:
In the area of statistical modeling and Bayesian inference, Markov Chain Monte Carlo (MCMC) methods are indispensable tools for tackling complex problems. The new
tidy_mcmc_sampling()function in the TidyDensity R package simplifies MCMC sampling and visualization, making it accessible to a broader audience of data enthusiasts and analysts.
Read on for a brief primer on MCMC and an example of how the tidy_mcmc_sampling() function works.