drugCombo: Drug Interaction Modeling Based on Loewe Additivity Following Harbron's Approach

Perform assessment of synergy/antagonism for drug combinations based on the Loewe additivity model, following Harbron's approach (Statistics in Medicine, 2010, <doi:10.1002/sim.3916>). The package allows flexible modeling of the drug interaction index and supports "2-stage" estimation in addition to "1-stage" estimation, including bootstrap-based confidence intervals. The method requires data on the monotherapy responses and the package accommodates both checkerboard and ray designs. Functions are available for graphical exploration of model goodness-of-fit and diagnostics, as well as for synergy/antagonism assessment in 2D and 3D.

Version: 1.0.3
Depends: R (≥ 2.10)
Imports: ggplot2, minpack.lm, BIGL (≥ 0.9), rgl, nlme, Deriv, methods, stats
Suggests: knitr, rmarkdown, testthat, Cairo
Published: 2018-11-13
Author: Maxim Nazarov, Nele Goeyvaerts, Chris Harbron (original article and code)
Maintainer: Maxim Nazarov <maxim.nazarov at openanalytics.eu>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: drugCombo results


Reference manual: drugCombo.pdf
Vignettes: Drug interaction modeling based on Loewe additivity following Harbron's approach
Package source: drugCombo_1.0.3.tar.gz
Windows binaries: r-devel: drugCombo_1.0.3.zip, r-release: drugCombo_1.0.3.zip, r-oldrel: drugCombo_1.0.3.zip
OS X binaries: r-release: drugCombo_1.0.3.tgz, r-oldrel: drugCombo_1.0.3.tgz
Old sources: drugCombo archive


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