maxIter
|
maximum number of iterations for the nlme
optimization algorithm. Default is 50.
|
pnlsMaxIter
|
maximum number of iterations
for the PNLS optimization step inside the nlme
optimization. Default is 7.
|
msMaxIter
|
maximum number of iterations
for the ms optimization step inside the nlme
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 PNLS step.
Default 0.001.
|
tolerance
|
tolerance for the convergence criterion in the
nlme algorithm. Default is 1e-6.
|
niterEM
|
number of iterations for the EM algorithm used to refine
the initial estimates of the random effects variance-covariance
coefficients. Default is 25.
|
pnlsTol
|
tolerance for the convergence criterion in PNLS
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 .
|
gradHess
|
a logical value indicating whether numerical gradient
vectors and Hessian matrices of the log-likelihood function should
be used in the ms optimization. This option is only available
when the correlation structure (corStruct ) and the variance
function structure (varFunc ) have no "varying" parameters and
the pdMat classes used in the random effects structure are
pdSymm (general positive-definite), pdDiag (diagonal),
pdIdent (multiple of the identity), or
pdCompSymm (compound symmetry). Default is TRUE .
|
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) .
|
natural
|
a logical value indicating whether the pdNatural
parametrization should be used for general positive-definite matrices
(pdSymm ) in reStruct , when the approximate covariance
matrix of the estimators is calculated. Default is TRUE .
|