d_sim_lin

Sample simulated data for exposure-response with continuous endpoint
using linear model.

datasets

Suite of tools that facilitate
exposure-response analysis using Bayesian methods. The package
provides a streamlined workflow for fitting types of models that are
commonly used in exposure-response analysis - linear and Emax for continuous
endpoints, logistic linear and logistic Emax for binary endpoints, as well
as performing simulation and visualization. Learn more about the workflow
at <https://genentech.github.io/BayesERbook/>.

Kenta Yoshida

BayesERtools

Bayesian Exposure-Response Analysis Tools

d_sim_lin function

A data frame with columns:<dl>
<dt>ID</dt>
<dd>Subject ID</dd><dt>AUCss</dt>
<dd>Steady-state area under the curve</dd><dt>Cmaxss</dt>
<dd>Steady-state maximum (peak) concentration</dd><dt>BAGE</dt>
<dd>Baseline age in years</dd><dt>SEX</dt>
<dd>M or F</dd><dt>response</dt>
<dd>Response</dd>
</dl>

Format

Sample simulated data for exposure-response with continuous endpoint
using linear model. — d_sim_lin

A data frame with columns:<dl>
<dt>ID</dt>
<dd>Subject ID</dd>

<dt>AUCss</dt>
<dd>Steady-state area under the curve</dd>

<dt>Cmaxss</dt>
<dd>Steady-state maximum (peak) concentration</dd>

<dt>BAGE</dt>
<dd>Baseline age in years</dd>

<dt>SEX</dt>
<dd>M or F</dd>

<dt>response</dt>
<dd>Response</dd>


</dl>

d_sim_lin: Sample simulated data for exposure-response with continuous endpoint using linear model.

Description

Usage

Arguments

Format

Details

Examples