Fitting binary mixture models
'mixture' fits a concentration addition, Hewlett or Voelund model to data from binary mixture toxicity experiments.
object of class 'drc' corresponding to the model with freely varying EC50 values.
character string. It can be "CA", "Hewlett" or "Voelund".
optional numeric vector supplying starting values for all parameters in the mixture model.
optional numeric vector supplying the lambda parameter in the Hewlett model or the eta parameters (two parameters) in the Voelund model.
list of arguments controlling constrained optimisation (zero as boundary), maximum number of iteration in the optimisation, relative tolerance in the optimisation, warnings issued during the optimisation.
The function is a wrapper to
drm, implementing the models described in Soerensen et al. (2007).
See the paper for a discussion of the merits of the different models.
Currently only the log-logistic models are available. Application of Box-Cox transformation is not yet available.
An object of class 'drc' with a few additional components.
Ritz, C. and Streibig, J. C. (2014) From additivity to synergism - A modelling perspective Synergy, 1, 22–29.
The examples in
acidiq (the Hewlett model),
glymet (dose/concentration addition)
mecter (the Voelund model).
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