clmm.control
Set control parameters for cumulative link mixed models
Set control parameters for cumulative link mixed models
- Keywords
- models
Usage
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"))Arguments
- method
the optimizer used to maximize the marginal likelihood function.
- …
control arguments passed on to the optimizer; see
ucminffor details.ucminffor details.- trace
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.- maxIter
the maximum number of Newton updates of the inner optimization.
50.- gradTol
the maximum absolute gradient of the inner optimization.
- maxLineIter
the maximum number of step halfings allowed if a Newton(-Raphson) step over shoots during the inner optimization.
- useMatrix
if
TRUE, a general implementation of the Laplace approximation using the Matrix package is used, while ifFALSE(default), a C implementation of the Laplace approximation valid only for models with a single random effects term is used when possible.TRUEis not valid for models fitted with quadrature methods.- innerCtrl
the use of warnings/errors if the inner optimization fails to converge.
- checkRanef
the use of message/warning/error if there are more random effects than observations.
Value
a list of control parameters