s.binary: Simulations of the parameters of a simple linear regression...

In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Description

A coda object containing simulated values from the posterior distribution of the intercept and slope of a logistic regression with fake data (y ~ dbern(mu); logit(mu) = theta[1] + theta[2] * X), and the fitted / expected values (mu). The purpose of the dataset is only to show the possibilities of the ggmcmc package.

Usage

data(s.binary)

Format

A coda object containing posterior distributions of the intercept (theta[1]) and slope (theta[2]) of a logistic regression with fake data, and of the fitted / expected values (mu).

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