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: | 1.1.1 |
Depends: | R (≥ 2.10) |
Imports: | ggplot2, minpack.lm, BIGL (≥ 0.9), rgl, nlme, Deriv, methods, stats |
Suggests: | knitr, rmarkdown, testthat, Cairo |
Published: | 2019-10-15 |
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_1.1.1.tar.gz |
Windows binaries: | r-devel: drugCombo_1.1.1.zip, r-release: drugCombo_1.1.1.zip, r-oldrel: drugCombo_1.1.1.zip |
macOS binaries: | r-release: drugCombo_1.1.1.tgz, r-oldrel: drugCombo_1.1.1.tgz |
Old sources: | drugCombo archive |
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