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BIGL  

Biochemically Intuitive Generalized Loewe Model
View on CRAN: Click here


Download and install BIGL package within the R console
Install from CRAN:
install.packages("BIGL")

Install from Github:
library("remotes")
install_github("cran/BIGL")

Install by package version:
library("remotes")
install_version("BIGL", "1.9.3")



Attach the package and use:
library("BIGL")
Maintained by
Kathy Mutambanengwe
[Scholar Profile | Author Map]
First Published: 2017-06-30
Latest Update: 2023-06-13
Description:
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) .
How to cite:
Kathy Mutambanengwe (2017). BIGL: Biochemically Intuitive Generalized Loewe Model. R package version 1.9.3, https://cran.r-project.org/web/packages/BIGL. Accessed 07 May. 2025.
Previous versions and publish date:
1.0.1 (2017-06-30 15:10), 1.1.0 (2017-09-25 12:54), 1.1.1 (2018-01-03 14:08), 1.2.0 (2018-06-13 17:01), 1.2.2 (2018-09-10 11:20), 1.2.3 (2018-11-21 17:30), 1.3.0 (2019-02-28 21:30), 1.4.1 (2019-06-21 17:00), 1.4.2 (2020-01-20 16:00), 1.4.3 (2020-02-20 18:50), 1.5.1 (2020-07-07 18:00), 1.5.2 (2020-07-24 21:32), 1.5.3 (2020-09-10 16:30), 1.6.0 (2020-12-16 20:20), 1.6.1 (2021-01-24 18:00), 1.6.2 (2021-03-10 16:50), 1.6.3 (2021-06-30 00:00), 1.6.4 (2021-09-02 06:10), 1.6.5 (2021-10-27 10:10), 1.6.6 (2022-05-05 09:00), 1.6.7 (2023-01-26 11:30), 1.7.0 (2023-03-08 12:10), 1.8.0 (2023-06-13 16:10), 1.9.0 (2023-12-21 02:20), 1.9.1 (2024-05-22 09:40), 1.9.2 (2024-06-26 14:20)
Other packages that cited BIGL R package
View BIGL citation profile
Other R packages that BIGL depends, imports, suggests or enhances
Complete documentation for BIGL
Functions, R codes and Examples using the BIGL R package
Some associated functions: Blissindependence . GetStartGuess . L4 . addResids . backscaleResids . bootConfInt . boxcox.transformation . coef.MarginalFit . col2hex . constructFormula . contour.ResponseSurface . df.residual.MarginalFit . directAntivirals . directAntivirals_ALL . fitMarginals . fitSurface . fitted.MarginalFit . fitted.ResponseSurface . generalizedLoewe . generateData . get.abs_tval . get.summ.data . getCP . getR . getTransformations . getd1d2 . harbronLoewe . hsa . initialMarginal . isobologram . marginalNLS . marginalOptim . maxR . meanR . modelVar . optim.boxcox . outsidePoints . plot.BIGLconfInt . plot.MarginalFit . plot.ResponseSurface . plot.effect-size . plot.maxR . plot.meanR . plotConfInt . plotMeanVarFit . plotResponseSurface . predict.MarginalFit . predictOffAxis . predictResponseSurface . predictVar . print.summary.BIGLconfInt . print.summary.MarginalFit . print.summary.ResponseSurface . print.summary.maxR . print.summary.meanR . residuals.MarginalFit . runBIGL . sampleResids . scaleResids . simulateNull . summary.BIGLconfInt . summary.MarginalFit . summary.ResponseSurface . summary.maxR . summary.meanR . synergy_plot_bycomp . vcov.MarginalFit . wildbootAddResids . 
Some associated R codes: Blissindependence.R . MarginalFit-methods.R . ResponseSurface-methods.R . bootConfInt.R . bootstrap.R . confInt-functions.R . data.R . effectSize-functions.R . fitMarginals.R . fitSurface.R . generalizedLoewe.R . getd1d2.R . harbronLoewe.R . helper.R . hsa.R . initialMarginal.R . isobologram.R . maxR-functions.R . maxR.R . meanR-functions.R . meanR.R . modelVar.R . plotMeanVarFit.R . plotReponseSurface.R . predictOffAxis.R . predictResponseSurface.R . runBIGL.R . scaleResids.R . splitPlot.R . statistics.R . transformations.R .  Full BIGL package functions and examples
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