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]