| 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