s.y.rep: Simulations of the posterior predictive distribution of a...

In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Description

A coda object containing simulated values from the posterior predictive distribution of the outcome of a linear regression with fake data (y ~ N(mu, sigma); mu = beta[1] + beta[2] * X; y.rep ~ N(mu, sigma); where y.rep is a replicated outcome, originally missing data). The purpose of the dataset is only to show the possibilities of the ggmcmc package.

Usage

data(s.y.rep)

Format

A coda object containing posterior distributions of the posterior predictive distribution of a linear regression with fake data.

ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.