Set control parameters for cumulative link mixed models
clmm.control(method = c("nlminb", "ucminf", "model.frame"), ..., trace = 0,
maxIter = 50, gradTol = 1e-4, maxLineIter = 50, useMatrix = FALSE,
innerCtrl = c("warnOnly", "noWarn", "giveError"),
checkRanef = c("warn", "error", "message"))a list of control parameters
the optimizer used to maximize the marginal likelihood function.
control arguments passed on to the optimizer; see
ucminf for details.
ucminf 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.
if TRUE, a general implementation of the
Laplace approximation using the Matrix package is used, while if
FALSE (default), a C implementation of the Laplace
approximation valid only for models with a single random effects
term is used when possible.
TRUE is not valid for models fitted with quadrature methods.
the use of warnings/errors if the inner optimization fails to converge.
the use of message/warning/error if there are more random effects than observations.
Rune Haubo B Christensen
clmm