sampleResids

Sample residuals according to a new model

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

sampleResids function

<dl><dt>means</dt>
<dd>a vector of means</dd>
<dt>sampling_errors</dt>
<dd>Sampling vector to resample errors from. Used only if
<code>error</code> is 4 and is passed as argument to <code>generateData</code>.
If <code>sampling_errors = NULL</code> (default), mean residuals at off-axis
points between observed and predicted response are taken.</dd>
<dt>method</dt>
<dd>What assumption should be used for the variance of on- and 
off-axis points. This argument can take one of the values from 
<code>c("equal", "model", "unequal")</code>. With the value <code>"equal"</code> as the
default. <code>"equal"</code> assumes that both on- and off-axis points have the 
same variance, <code>"unequal"</code> estimates a different parameter for on- and 
off-axis points and <code>"model"</code> predicts variance based on the average 
effect of an off-axis point. If no transformations are used the 
<code>"model"</code> method is recommended. If transformations are used, only the
<code>"equal"</code> method can be chosen.</dd>
<dt>rescaleResids</dt>
<dd>a boolean indicating whether to rescale residuals,
or else normality of the residuals is assumed.</dd>
<dt>...</dt>
<dd>passed on to predictVar</dd></dl>

Arguments

Sample residuals according to a new model — sampleResids

<dl>

<dt>means</dt>
<dd>a vector of means</dd>


<dt>sampling_errors</dt>
<dd>Sampling vector to resample errors from. Used only if
<code>error</code> is 4 and is passed as argument to <code>generateData</code>.
If <code>sampling_errors = NULL</code> (default), mean residuals at off-axis
points between observed and predicted response are taken.</dd>


<dt>method</dt>
<dd>What assumption should be used for the variance of on- and 
off-axis points. This argument can take one of the values from 
<code>c("equal", "model", "unequal")</code>. With the value <code>"equal"</code> as the
default. <code>"equal"</code> assumes that both on- and off-axis points have the 
same variance, <code>"unequal"</code> estimates a different parameter for on- and 
off-axis points and <code>"model"</code> predicts variance based on the average 
effect of an off-axis point. If no transformations are used the 
<code>"model"</code> method is recommended. If transformations are used, only the
<code>"equal"</code> method can be chosen.</dd>


<dt>rescaleResids</dt>
<dd>a boolean indicating whether to rescale residuals,
or else normality of the residuals is assumed.</dd>


<dt>...</dt>
<dd>passed on to predictVar</dd>

</dl>

sampleResids: Sample residuals according to a new model

Description

Usage

Value

Arguments