Simulates continuous distributions of random vectors using Markov chain Monte Carlo (MCMC). Users specify the distribution by an R function that evaluates the log unnormalized density. Algorithms are random walk Metropolis algorithm (function metrop), simulated tempering (function temper), and morphometric random walk Metropolis (Johnson and Geyer, 2012, <https://doi.org/10.1214/12-AOS1048>, function morph.metrop), which achieves geometric ergodicity by change of variable.
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curl https://depscope.dev/api/check/conda/r-mcmcFirst published · 2021-05-22 08:45:12.651000+00:00
Last updated · 2025-09-11 22:48:33.402000+00:00