maxIter
|
maximum number of iterations for the gls
optimization algorithm. Default is 50.
|
msMaxIter
|
maximum number of iterations
for the ms 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) .
|