generalizedLoewe {BIGL} R Documentation

## Compute combined predicted response from drug doses according to standard or generalized Loewe model.

### Description

Compute combined predicted response from drug doses according to standard or generalized Loewe model.

### Usage

generalizedLoewe(
doseInput,
parmInput,
asymptotes = 2,
startvalues = NULL,
newtonRaphson = FALSE,
...
)


### Arguments

 doseInput Dose-response dataframe containing "d1" and "d2" columns parmInput Numeric vector or list with appropriately named parameter inputs. Typically, it will be coefficients from a MarginalFit object. asymptotes Number of asymptotes. It can be either 1 as in standard Loewe model or 2 as in generalized Loewe model. startvalues Starting values for the non-linear equation, from the observed data newtonRaphson a boolean, is Newton raphson used for finding the response surface? May be faster but also less stable ... Further arguments that are currently unused

[Package BIGL version 1.6.6 Index]