| gnlsControl {nlme} | R Documentation |
The values supplied in the function call replace the defaults and a
list with all possible arguments is returned. The returned list is
used as the control argument to the gnls function.
gnlsControl(maxIter, nlsMaxIter, msMaxIter, minScale, tolerance,
nlsTol, msTol, msScale, returnObject, msVerbose,
apVar, .relStep, nlmStepMax,
opt = c("nlminb", "optim"), optimMethod,
minAbsParApVar)
maxIter |
maximum number of iterations for the gnls
optimization algorithm. Default is 50. |
nlsMaxIter |
maximum number of iterations
for the nls optimization step inside the gnls
optimization. Default is 7. |
msMaxIter |
maximum number of iterations
for the ms optimization step inside the gnls
optimization. Default is 50. |
minScale |
minimum factor by which to shrink the default step size
in an attempt to decrease the sum of squares in the nls step.
Default 0.001. |
tolerance |
tolerance for the convergence criterion in the
gnls algorithm. Default is 1e-6. |
nlsTol |
tolerance for the convergence criterion in nls
step. Default is 1e-3. |
msTol |
tolerance for the convergence criterion in ms,
passed as the rel.tolerance argument to the function (see
documentation on ms). Default is 1e-7. |
msScale |
scale function passed as the scale argument to
the ms function (see documentation on that function). Default
is lmeScale. |
returnObject |
a logical value indicating whether the fitted
object should be returned when the maximum number of iterations is
reached without convergence of the algorithm. Default is
FALSE. |
msVerbose |
a logical value passed as the trace argument to
ms (see documentation on that function). Default is
FALSE. |
apVar |
a logical value indicating whether the approximate
covariance matrix of the variance-covariance parameters should be
calculated. Default is TRUE. |
.relStep |
relative step for numerical derivatives
calculations. Default is .Machine$double.eps^(1/3). |
opt |
the optimizer to be used, either nlminb (the
default since (R 2.2.0) or optim (the previous
default). |
optimMethod |
character - the optimization method to be used with
the optim optimizer. The default is
"BFGS". An alternative is "L-BFGS-B". |
nlmStepMax |
stepmax value to be passed to nlm. See
nlm for details. Default is 100.0 |
minAbsParApVar |
numeric value - minimum absolute parameter value
in the approximate variance calculation. The default is 0.05. |
a list with components for each of the possible arguments.
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
# decrease the maximum number iterations in the ms call and # request that information on the evolution of the ms iterations be printed gnlsControl(msMaxIter = 20, msVerbose = TRUE)