A coda object containing simulated values from the
  posterior distribution of the intercept, slope and error
  of a simple linear regression with fake data (y = beta[0]
  + beta[1] * X + sigma) . The purpose of the dataset is
  only to show the possibilities of the ggmcmc package.

datasets

ggmcmc is a tool for assessing and diagnosing convergence
        of Markov Chain Monte Carlo simulations, as well as for
        graphically display results from full MCMC analysis. The
        package also facilitates the graphical interpretation of models
        by providing flexible functions to plot the results against
        observed variables.

Xavier i Marín

ggmcmc

Graphical tools for analyzing Markov Chain Monte Carlo
        simulations from Bayesian inference.

S function

A coda object with 2 chains of 1000 iterations each one for 3 parameters

S: Simulations of the parameters of a simple linear regression with fake data.

Description

Arguments

format