Biochemically Intuitive 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) .


News

1.1.1 (2018-01-02) o added reference to the original article o fix DESCRIPTION file according to new R CMD check policy 1.1.0 (2017-09-22) o isobologram() plot is now available for ResponseSurface objects It is also now included in the shiny app. o summary.ResponseSurface does not fail if marginal fits have constraints o Change of package maintainer 1.0.3 (2017-08-18) o Contour plot for maxR now has correct p-value labels o Summary for marginal fits does not fail if Hessian computation failed 1.0.2 (2017-07-31) o extra arguments in fitMarginals are now passed to the optimizer functions 1.0.1 (2017-06-29) o predict method added for the MarginalFit objects 1.0 (2017-06-28) o Initial public release

Reference manual

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install.packages("BIGL")

1.2.0 by Maxim Nazarov, 2 months ago


https://github.com/openanalytics/BIGL


Report a bug at https://github.com/openanalytics/BIGL/issues


Browse source code at https://github.com/cran/BIGL


Authors: Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, MASS, methods, minpack.lm, numDeriv, parallel, progress, rgl, robustbase, scales

Suggests knitr, rmarkdown, testthat, shiny, DT


Imported by drugCombo.


See at CRAN