clm.control

Set control parameters for cumulative link models

Set control parameters for cumulative link models

Keywords
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

"Newton" fits the model by maximum likelihood and "model.frame" cause clm to return the model.frame, "design" causes clm to return a list of design matrices etc. that can be used with clm.fit. ucminf, nlminb and optim refer to general purpose optimizers.

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 > 0 information is printed about and during the optimization process. Defaults to 0.

maxIter

the maximum number of Newton-Raphson iterations. Defaults to 100.

gradTol

the maximum absolute gradient; defaults to 1e-6.

maxLineIter

the maximum number of step halfings allowed if a Newton(-Raphson) step over shoots. Defaults to 15.

relTol

relative convergence tolerence: relative change in the parameter estimates between Newton iterations. Defaults to 1e-6.

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 5.

convergence

action to take if the fitting algorithm did not converge.

control arguments parsed on to ucminf, nlminb or optim.

Value

a list of control parameters.

See Also

clm

Aliases
  • clm.control
Documentation reproduced from package ordinal, version 2018.8-25, License: GPL (>= 2)

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