generalizedLoewe

Dose-response dataframe containing <code>"d1"</code> and
<code>"d2"</code> columns

doseInput

Numeric vector or list with appropriately named
parameter inputs. Typically, it will be coefficients from a
<code>MarginalFit</code> object.

parmInput

Number of asymptotes. It can be either <code>1</code>
as in standard Loewe model or <code>2</code> as in generalized Loewe model.

asymptotes

Further arguments that are currently unused

Compute combined predicted response from drug doses according to standard or
generalized Loewe 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>.

generalizedLoewe: Compute combined predicted response from drug doses according to standard or generalized Loewe model.

Description

Usage

Arguments