nlme (version 3.1-66)

gnlsControl: Control Values for gnls Fit

Description

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.

Usage

gnlsControl(maxIter, nlsMaxIter, msMaxIter, minScale, tolerance,
            nlsTol, msTol, msScale, returnObject, msVerbose,
            apVar, .relStep, nlmStepMax, optimMethod,
            minAbsParApVar)

Arguments

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).

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.

Value

• a list with components for each of the possible arguments.

See Also

gnls, lmeScale

Examples

# 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)