Sets control arguments

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

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,
  conCheck = TRUE)

Arguments

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.
conCheck	logical, switching on/off handling of control measurements.

Value

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

Note

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

Examples

### Displaying the default settings
drmc()
#> $constr
#> [1] FALSE
#> 
#> $errorm
#> [1] TRUE
#> 
#> $maxIt
#> [1] 500
#> 
#> $method
#> [1] "BFGS"
#> 
#> $noMessage
#> [1] FALSE
#> 
#> $relTol
#> [1] 1e-07
#> 
#> $rmNA
#> [1] FALSE
#> 
#> $useD
#> [1] FALSE
#> 
#> $trace
#> [1] FALSE
#> 
#> $otrace
#> [1] FALSE
#> 
#> $warnVal
#> [1] -1
#> 
#> $dscaleThres
#> [1] 1e-15
#> 
#> $rscaleThres
#> [1] 1e-15
#> 
#> $conCheck
#> [1] TRUE
#> 

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

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