newton.raphson

This higher-order ('factory') function produces a simple dose titration
algorithm for neutrophil-guided chemotherapy dosing.

Dose Titration Algorithm Tuning (DTAT) is a methodologic framework
allowing dose individualization to be conceived as a continuous
learning process that begins in early-phase clinical trials and
continues throughout drug development, on into clinical practice.
This package includes code that researchers may use to reproduce
or extend key results of the DTAT research programme, plus tools
for trialists to design and simulate a '3+3/PC' dose-finding study.
Please see Norris (2017a) <doi:10.12688/f1000research.10624.3> and
Norris (2017c) <doi:10.1101/240846>.

David C. Norris

DTAT

Dose Titration Algorithm Tuning

newton.raphson function

<dl><dt>dose1</dt>
<dd>The starting dose for titration</dd>
<dt>omega</dt>
<dd>A relaxation parameter used to moderate dose increments</dd>
<dt>slope1</dt>
<dd>Dose-response slope assumed prior to 2nd measured neutrophil
nadir</dd>
<dt>slopeU</dt>
<dd>Upper bound imposed on slope estimates</dd></dl>

Arguments

Author

A dose titration algorithm (DTA) 'factory' based on the Newton-Raphson
heuristic — newton.raphson

<dl>

<dt>dose1</dt>
<dd>The starting dose for titration</dd>


<dt>omega</dt>
<dd>A relaxation parameter used to moderate dose increments</dd>


<dt>slope1</dt>
<dd>Dose-response slope assumed prior to 2nd measured neutrophil
nadir</dd>


<dt>slopeU</dt>
<dd>Upper bound imposed on slope estimates</dd>

</dl>

newton.raphson: A dose titration algorithm (DTA) 'factory' based on the Newton-Raphson heuristic

Description

Usage

Value

Arguments

Author

Details

See Also