predictOffAxis {BIGL}  R Documentation 
Given a dataframe with doseresponse data, this function uses coefficient estimates from the marginal (onaxis) monotherapy model to compute the expected values of response at offaxis dose combinations using a provided null model.
predictOffAxis(
doseGrid,
fitResult,
transforms = fitResult$transforms,
null_model = c("loewe", "hsa", "bliss", "loewe2"),
fit = NULL,
...
)
doseGrid 
A dose grid with unique combination of doses 
fitResult 
Monotherapy (onaxis) model fit, e.g. produced by

transforms 
Transformation functions. If nonnull, 
null_model 
Specified null model for the expected response surface.
Currently, allowed options are 
fit 
a precalculated offaxis fit 
... 
Further arguments passed on to the Loewe fitters 
This functions returns a named vector with predicted offaxis points
data < subset(directAntivirals, experiment == 1)
## Data must contain d1, d2 and effect columns
transforms < getTransformations(data)
fitResult < fitMarginals(data, transforms)
uniqueDoses < with(data, list("d1" = sort(unique(data$d1)),
"d2" = sort(unique(data$d2))))
doseGrid < expand.grid(uniqueDoses)
predictOffAxis(fitResult, null_model = "hsa", doseGrid = doseGrid)