Set control parameters for cumulative link mixed models
clmm2.control(method = c("ucminf", "nlminb", "model.frame"), ...,
trace = 0, maxIter = 50, gradTol = 1e-4,
maxLineIter = 50,
innerCtrl = c("warnOnly", "noWarn", "giveError"))
a list of control parameters.
the optimizer used to maximize the marginal likelihood function.
control arguments passed on to the chosen optimizer; see
ucminf
, optim
, and
nlminb
for details.
numerical, if > 0 information is printed about and during
the outer optimization process, if < 0 information is also printed
about the inner optimization process. Defaults to 0
.
the maximum number of Newton updates of the inner
optimization. 50
.
the maximum absolute gradient of the inner optimization.
the maximum number of step halfings allowed if a Newton(-Raphson) step over shoots during the inner optimization.
the use of warnings/errors if the inner optimization fails to converge.
Rune Haubo B Christensen
When the default optimizer, ucminf
is used, the default values
of that optimizers control options are changed to grtol = 1e-5
and grad = "central"
.
clmm2