boxcox.transformation

Apply two-parameter Box-Cox transformation

Response surface methods for drug synergy analysis. Available
methods include generalized and classical Loewe formulations as well as Highest
Single Agent methodology. Response surfaces can be plotted in an interactive
3-D plot and formal statistical tests for presence of synergistic effects are
available. Implemented methods and tests are described in the article
"BIGL: Biochemically Intuitive Generalized Loewe null model for prediction
of the expected combined effect compatible with partial agonism and antagonism"
by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas, Olivier Thas,
Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans (2017)
<doi:10.1038/s41598-017-18068-5>.

Kathy Mutambanengwe

BIGL

Biochemically Intuitive Generalized Loewe Model

Heather Turner

Annelies Tourny

Olivier Thas

Maxim Nazarov

Rytis Bagdziunas

Stijn Hawinkel

boxcox.transformation function

<dl><dt>y</dt>
<dd>Numeric vector</dd>
<dt>lambda</dt>
<dd>Power parameter in power transform</dd>
<dt>alpha</dt>
<dd>Shift paramater in 2-parameter power transform. Defaults to
<code>0</code> which implies a 1-parameter Box-Cox transform.</dd></dl>

Arguments

Apply two-parameter Box-Cox transformation — boxcox.transformation

<dl>

<dt>y</dt>
<dd>Numeric vector</dd>


<dt>lambda</dt>
<dd>Power parameter in power transform</dd>


<dt>alpha</dt>
<dd>Shift paramater in 2-parameter power transform. Defaults to
<code>0</code> which implies a 1-parameter Box-Cox transform.</dd>

</dl>

boxcox.transformation: Apply two-parameter Box-Cox transformation

Description

Usage

Value

Arguments