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