Fitting Combined Action with the BRAID Response Surface Model

Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Doses (BRAID) model of combined action, along with tools for implementing other combination analysis methods, including Bliss independence, combination index, and additional response surface methods.

braidrm

The goal of braidrm is to to make the best combination analysis available more robust, more accessible, and easier to use, so that drug combinations can be understood more completely and new therapies can be discovered more quickly.

Example

This example shows how to fit a BRAID response surface to data, and print a summary of the resulting fit.

library(braidrm)

# Fit a basic braid surface
braidFit <- braidrm(measure ~ concA + concB, synergisticExample,
                    model = "kappa2", getCIs=TRUE)

summary(braidFit)
#> Call:
#> braidrm.formula(formula = measure ~ concA + concB, data = synergisticExample, 
#>     model = "kappa2", getCIs = TRUE)
#> 
#>            Lo     Est     Hi
#> IDMA   0.9129  1.0398 1.1477
#> IDMB   0.8690  1.0259 1.1829
#> na     2.3488  2.9116 3.6568
#> nb     2.0612  2.4990 3.1371
#> kappa  1.6104  2.1258 2.6469
#> E0    -0.0762 -0.0300 0.0227
#> EfA    0.9394  1.0080 1.0281
#> EfB    0.9053  0.9848 1.0264
#> Ef         NA  1.0080     NA