control
argument in the lme
function.lmeControl(maxIter, msMaxIter, tolerance, niterEM, msTol,
msScale, msVerbose, PQLmaxIt, .relStep,
nlmStepMax, optimizer,
EMverbose, analyticGradient, analyticHessian)
lme
optimization algorithm. Default is 50.nlm
optimization step inside the lme
optimization. Default is 50.lme
algorithm. Default is 1e-6.nlm
,
passed as the rel.tolerance
argument to the function (see
documentation on nlm
). Default is 1e-7.scale
argument to
the nlm
function (see documentation on that function). Default
is lmeScale
.trace
argument to
nlm
(see documentation on that function). Default is
getOption("verbose")
.GLMM
..Machine$double.eps^(1/3)
.nlm
for details. Default is 100.0"optim"
, the
default, or "nlm"
getOption("verbose"
.TRUE
.FALSE
. In
future we may use the analytic Hessian in the optimization.lme
, nlm
, optim
,
lmeScale
, GLMM
# decrease the maximum number iterations in the ms call and
# request that information on the evolution of the ms iterations be printed
str(lmeControl(msMaxIter = 20, msVerbose = TRUE))
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