Set control parameters for cumulative link models
Set control parameters for cumulative link models
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"))
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. |
... |
a list of control parameters.
Rune Haubo B Christensen
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