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drugCombo (version 1.2.1)

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

Description

Perform assessment of synergy/antagonism for drug combinations based on the Loewe additivity model, following Harbron's approach (Statistics in Medicine, 2010, ). 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.

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Version

Install

install.packages('drugCombo')

Monthly Downloads

11

Version

1.2.1

License

GPL-3

Maintainer

Maxim Nazarov

Last Published

June 29th, 2021

Functions in drugCombo (1.2.1)

fitPlot2d

Plot 2d surface (slices) of observations and model fit
getBootTaus

Run nonparametric bootstrap on the interaction index model
contour.tauSurface

Contour-plot method for "tauSurface" objects
checkerboardData

Example checkerboard design drug combination data
invL4

Inverse 4-parameter log-logistic (response-dose) function
fitModel

Fit drug interaction index model according to Harbron's framework
getTauSurface

Compute interaction index surface and confidence intervals
fitPlot3d

Plot 3d surface of observations and model fit
bootstrapCoefs

Show estimated model parameters from all bootstrap iterations
rayData

Example ray design drug combination data
unique.tauSurface

Unique method for "tauSurface" objects
plot.HarbronFit

Plot method for HarbronFit objects
tauPlot2d

Plot estimated interaction index surface slice along one of the doses
reexports

Objects exported from other packages
plot.tauSurface

Plot method for "tauSurface" objects
tauPlot3d

Plot 3d surface of interaction index estimates
print.tauSurface

Print method for "tauSurface" objects