The Metropolis Algorithm

Documentation for package ‘metropolis’ version 0.1.8

as.mcmc.metropolis.samples	Convert glm_metropolis output to 'mcmc' object from package coda
expit	Inverse logit transform
logistic_ll	logistic log likelihood
magfields	A case control study of childhood leukemia and magnetic fields from Savitz, Wachtel, Barnes, et al (1998) doi: 10.1093/oxfordjournals.aje.a114943 (URL: https://doi.org/10.1093/oxfordjournals.aje.a114943).
metropolis.control	metropolis.control
metropolis_glm	Use the Metropolis Hastings algorithm to estimate Bayesian glm parameters
normal_ll	Gaussian log likelihood
plot.metropolis.samples	Plot the output from the metropolis function
print.metropolis.samples	Print a metropolis.samples object
summary.metropolis.samples	Summarize a probability distribution from a Markov Chain