clm.control {ordinal} | R Documentation |
Set control parameters for cumulative link models
Description
Set control parameters for cumulative link models
Usage
clm.control(method = c("Newton", "model.frame", "design", "ucminf", "nlminb",
"optim"),
sign.location = c("negative", "positive"),
sign.nominal = c("positive", "negative"),
..., trace = 0L,
maxIter = 100L, gradTol = 1e-06, maxLineIter = 15L, relTol = 1e-6,
tol = sqrt(.Machine$double.eps), maxModIter = 5L,
convergence = c("warn", "silent", "stop", "message"))
Arguments
method |
|
sign.location |
change sign of the location part of the model. |
sign.nominal |
change sign of the nominal part of the model. |
trace |
numerical, if |
maxIter |
the maximum number of Newton-Raphson iterations.
Defaults to |
gradTol |
the maximum absolute gradient; defaults to |
maxLineIter |
the maximum number of step halfings allowed if
a Newton(-Raphson) step over shoots. Defaults to |
relTol |
relative convergence tolerence: relative change in the
parameter estimates between Newton iterations. Defaults to |
tol |
numerical tolerence on eigenvalues to determine negative-definiteness of Hessian. If the Hessian of a model fit is negative definite, the fitting algorithm did not converge. If the Hessian is singular, the fitting algorithm did converge albeit not to a unique optimum, so one or more parameters are not uniquely determined even though the log-likelihood value is. |
maxModIter |
the maximum allowable number of consecutive
iterations where the Newton step needs to be modified to be a decent
direction. Defaults to |
convergence |
action to take if the fitting algorithm did not converge. |
... |
Value
a list of control parameters.
Author(s)
Rune Haubo B Christensen