R: The Metropolis Algorithm

# The Metropolis Algorithm

## Documentation for package ‘metropolis’ version 0.1.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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