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) .
|