| glsControl {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 gls function.
glsControl(maxIter, msMaxIter, tolerance, msTol, msScale, msVerbose,
singular.ok, qrTol, returnObject, apVar, .relStep,
nlmStepMax, minAbsParApVar, natural)
maxIter |
maximum number of iterations for the gls
optimization algorithm. Default is 50. |
msMaxIter |
maximum number of iterations
for the optimization step inside the gls
optimization. Default is 50. |
tolerance |
tolerance for the convergence criterion in the
gls algorithm. Default is 1e-6. |
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. |
msVerbose |
a logical value passed as the trace argument to
ms (see documentation on that function). Default is
FALSE. |
singular.ok |
a logical value indicating whether non-estimable
coefficients (resulting from linear dependencies among the columns of
the regression matrix) should be allowed. Default is FALSE. |
qrTol |
a tolerance for detecting linear dependencies among the
columns of the regression matrix in its QR decomposition. Default is
.Machine$single.eps. |
returnObject |
a logical value indicating whether the fitted
object should be returned when the maximum number of iterations is
reached without convergence of the algorithm. Default is
FALSE. |
apVar |
a logical value indicating whether the approximate
covariance matrix of the variance-covariance parameters should be
calculated. Default is TRUE. |
.relStep |
relative step for numerical derivatives
calculations. Default is .Machine$double.eps^(1/3). |
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. |
natural |
logical. Should the natural parameterization be used
for the approximate variance calculations? Default is TRUE. |
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 optimization call and # request that information on the evolution of the ms iterations be printed glsControl(msMaxIter = 20, msVerbose = TRUE)