Loewe: Fill the dataset with the predicted effect under Loewe model
In Michorlab/ACESO: A Cancer Evolution Simulation Optimizer

Description Usage Arguments Value Examples

Fill the dataset with the predicted effect under Loewe model

1 2	Loewe(data, resp = "Birth_rate", conc1 = "CONC", conc2 = "CONC2", same.Emax = FALSE, Emax.effect = c("min", "max"))

`data`	input data
`resp`	Name of the column in the dataset with the effect/response to be fitted.
`conc1`	Name of the column in the dataset with the concentrations for drug 1. 'CONC' by default.
`conc2`	Name of the column in the dataset with the concentrations for drug 1. 'CONC2' by default.
`same.Emax`	logical value to indicate whether the hill model for drug 1 and drug 2 share the same Emax value (classical Loewe model). FALSE by default.
`Emax.effect`	argument to indicate whether the maximum effect of the drug in the dataset is associated with the minimum or the maximum values of the resp column.

The input dataset with a new column called 'loewe_additivity' to store the expected effect of combination under Loewe additive model

## Not run: 
data(Dactolisib_Trametinib_rates)
head(GD)
GD=Loewe(data=GD,resp = 'Birth_rate')
head(GD)
rmap <-  braidReports::responseMap(loewe_additivity~CONC+CONC2,GD,logscale=T)#' 
plot.ResponseSurface(rmap,xl="[Dactolisib] (ÂµM)",yl="[Trametinib] (ÂµM)",
zl="Birth rate of \n sensitive cells (1/h)",title="Loewe")

## End(Not run)