drc (version 2.5-12)

drmc: Sets control arguments

Description

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

Usage

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)

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.

Value

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

Examples

Run this code

### 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"))

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