tacks

An experiment that requires a common thumbtack to be "flipped" \(n=9\) times. Out of these total number of flips, \(y\) is the total number of times that the thumbtack landed point up.

datasets

A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. (2018, Technical Report, <arXiv:1802.00474>).

Doug Fletcher

BayesGOF

Bayesian Modeling via Goodness-of-Fit

tacks function

A data frame of \((y_i, n_i)\) for \(i = 1,...,320\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>number of times a thumbtack landed point up in the \(i^{th}\) trial</dd>
 <dt><code>n</code></dt><dd>total number of flips for the thumbtack in the \(i^{th}\) trial</dd>
 </dl>

Format

Rolling Tacks Data — tacks

A data frame of \((y_i, n_i)\) for \(i = 1,...,320\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>number of times a thumbtack landed point up in the \(i^{th}\) trial</dd>
 <dt><code>n</code></dt><dd>total number of flips for the thumbtack in the \(i^{th}\) trial</dd>
 </dl>

tacks: Rolling Tacks Data

Description

Usage

Arguments

Format