drmc: Sets control arguments
In drc: Analysis of Dose-Response Curves

Description Usage Arguments Value Note Author(s) Examples

Set control arguments in the control argument in the function 'drm'.

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  drmc(constr = FALSE, errorm = TRUE, maxIt = 500, method="BFGS", 
  noMessage = FALSE, relTol = 1e-07, rmNA=FALSE, useD = FALSE, 
  trace = FALSE, otrace = FALSE, warnVal = -1, dscaleThres = 1e-15, rscaleThres = 1e-15)

`constr`	logical. If TRUE optimisation is constrained, only yielding non-negative parameters.
`errorm`	logical specifying whether failed convergence in `drm` should result in an error or only a warning.
`maxIt`	numeric. The maximum number of iterations in the optimisation procedure.
`method`	character string. The method used in the optimisation procedure. See `optim` for available methods.
`noMessage`	logical, specifying whether or not messages should be displayed.
`relTol`	numeric. The relative tolerance in the optimisation procedure.
`rmNA`	logical. Should NAs be removed from sum of squares used for estimation? Default is FALSE (not removed).
`useD`	logical. If TRUE derivatives are used for estimation (if available).
`trace`	logical. If TRUE the trace from `optim` is displayed.
`otrace`	logical. If TRUE the output from `optim` is displayed.
`warnVal`	numeric. If equal to 0 then the warnings are stored and displayed at the end. See under 'warn' in `options`. The default results in suppression of warnings.
`dscaleThres`	numeric value specifying the threshold for dose scaling.
`rscaleThres`	numeric value specifying the threshold for response scaling.

A list with 8 components, one for each of the above arguments.

The use of a non-zero constant bcAdd may in some cases make it more difficult to obtain convergence of the estimation procedure.

Christian Ritz

### Displaying the default settings
drmc()  

### Using 'method' argument
model1 <- drm(ryegrass, fct = LL.4())

model2 <- drm(ryegrass, fct = LL.4(),
control = drmc(method = "Nelder-Mead"))