antagonisticExample

A synthetically generated response surface using a antagonistic parameter vector.
The surface was generated with IDMA of 1, IDMB of 1, na of 3, nb of 3,
kappa of -1, E0 of 0, EfA of 1, EfB of 1, and Ef of 1. Every pair of
concentrations is sampled once, with concentrations of 0 and a seven-point
two-fold dilution from 0.125 to 8. "Measurements" were sampled from a
normal noise distribution around ground truth values with a standard
deviation of 0.07.

datasets

Contains functions for evaluating, analyzing, and fitting combined
action dose response surfaces with the Bivariate Response to Additive
Interacting Doses (BRAID) model of combined action, along with tools for
implementing other combination analysis methods, including Bliss independence,
combination index, and additional response surface methods.

Nathaniel Twarog

braidrm

Fitting Combined Action with the BRAID Response Surface Model

Anang Shelat

Nathaniel R. Twarog

antagonisticExample function

A data frame with 64 rows and 4 columns<dl>
<dt>concA</dt>
<dd>The concentration of drug A</dd><dt>concB</dt>
<dd>The concentration of drug B</dd><dt>truth</dt>
<dd>The true response surface value at the given dose pair</dd><dt>measure</dt>
<dd>The sampled noisy measurement of the response surface at
the given dose pair</dd>
</dl>

Format

Example Antagonistic Surface — antagonisticExample

A data frame with 64 rows and 4 columns<dl>
<dt>concA</dt>
<dd>The concentration of drug A</dd>

<dt>concB</dt>
<dd>The concentration of drug B</dd>

<dt>truth</dt>
<dd>The true response surface value at the given dose pair</dd>

<dt>measure</dt>
<dd>The sampled noisy measurement of the response surface at
the given dose pair</dd>


</dl>

antagonisticExample: Example Antagonistic Surface

Description

Usage

Arguments

Format