A sample dataset used for demonstrating the function.

datasets

Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures.
This package utilizes 'runjags' to run Gibbs sampling with parallel chains.
Options for different covariances/relationship structures between parameters of interest.

Chase Sakitis

BTIME

Bayesian Hierarchical Models for Single-Cell Protein Data

Brooke Fridley

dat function

A data frame with 10 rows and 5 columns:<dl>
<dt>suid</dt>
<dd>Subject ID's</dd><dt>total</dt>
<dd>Total number of trials</dd><dt>stage</dt>
<dd>Binary predictor variable (0/1)</dd><dt>M1</dt>
<dd>Count data for Marker 1</dd><dt>M2</dt>
<dd>Count data for Marker 2</dd>
</dl>

Format

Example dataset: dat — dat

A data frame with 10 rows and 5 columns:<dl>
<dt>suid</dt>
<dd>Subject ID's</dd>

<dt>total</dt>
<dd>Total number of trials</dd>

<dt>stage</dt>
<dd>Binary predictor variable (0/1)</dd>

<dt>M1</dt>
<dd>Count data for Marker 1</dd>

<dt>M2</dt>
<dd>Count data for Marker 2</dd>


</dl>

dat: Example dataset: dat

Description

Usage

Arguments

Format

Examples