lmeControl {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 lme
function.
lmeControl(maxIter, msMaxIter, tolerance, niterEM, msMaxEval, msTol, msVerbose, returnObject, gradHess, apVar, .relStep, minAbsParApVar, opt = c("nlminb", "optim"), optimMethod, natural, ...)
maxIter |
maximum number of iterations for the |
msMaxIter |
maximum number of iterations
for the optimization step inside the |
tolerance |
tolerance for the convergence criterion in the
|
niterEM |
number of iterations for the EM algorithm used to refine
the initial estimates of the random effects variance-covariance
coefficients. Default is |
msMaxEval |
maximum number of evaluations of the objective
function permitted for nlminb. Default is |
msTol |
tolerance for the convergence criterion on the first
iteration when |
msVerbose |
a logical value passed as the |
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
|
gradHess |
a logical value indicating whether numerical gradient
vectors and Hessian matrices of the log-likelihood function should
be used in the internal optimization. This option is only available
when the correlation structure ( |
apVar |
a logical value indicating whether the approximate
covariance matrix of the variance-covariance parameters should be
calculated. Default is |
.relStep |
relative step for numerical derivatives
calculations. Default is |
opt |
the optimizer to be used, either |
optimMethod |
character - the optimization method to be used with
the |
minAbsParApVar |
numeric value - minimum absolute parameter value
in the approximate variance calculation. The default is |
natural |
a logical value indicating whether the |
... |
Further named control arguments to be passed to
|
a list with components for each of the possible arguments.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
# decrease the maximum number iterations in the ms call and # request that information on the evolution of the ms iterations be printed lmeControl(msMaxIter = 20, msVerbose = TRUE)