lmerControl(optimizer = "Nelder_Mead",
restart_edge = TRUE, sparseX = FALSE,
check.nobs.vs.rankZ = "warningSmall",
check.nobs.vs.nlev = "stop",
check.nlev.gtreq.5 = "ignore",
check.nlev.gtr.1 = "stop", optCtrl = list())glmerControl(optimizer = c("bobyqa", "Nelder_Mead"),
restart_edge = FALSE, sparseX = FALSE,
check.nobs.vs.rankZ = "warningSmall",
check.nobs.vs.nlev = "stop",
check.nlev.gtreq.5 = "ignore",
check.nlev.gtr.1 = "stop", tolPwrss = 1e-07,
compDev = TRUE, optCtrl = list())
nlmerControl(optimizer = "Nelder_Mead", tolPwrss = 1e-10,
optCtrl = list())
lmer
or glmer
, possibly length 2 for glmer
).
The built-in optimizers are
FALSE
.
Currently inactive.check.nlevel.gtr.5
.check.nlevel.gtre
check.nlevel.gtreq.5
.
list
of additional arguments to be
passed to the nonlinear optimizer (see Nelder_Mead
,
bobyqa
TRUE
."merControl"
) containing
(1) general control parameters (e.g. optimizer
,
restart_edge
);
(2) a list of data-checking specifications
(e.g. check.nobs.vs.rankZ
);
(3) parameters to be passed to the optimizer, i.e., the optCtrl
list, which may contain maxiter
.)options
, [gn]lmerControl
will use them rather than the default values but will not
override values that are passed as explicit arguments); for example,
options(check.nlev.gtreq.5 = "ignore")
will suppress warnings
that there an insufficient random effects levels for reliable
estimation.