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