# clm2.control

##### Set control parameters for cumulative link models

Set control parameters for cumulative link models

- Keywords
- models

##### Usage

```
clm2.control(method = c("ucminf", "Newton", "nlminb", "optim",
"model.frame"), ..., convTol = 1e-4,
trace = 0, maxIter = 100, gradTol = 1e-5,
maxLineIter = 10)
```

##### Arguments

- method
the optimizer used to maximize the likelihood function.

`"Newton"`

only works for models without`scale`

, structured thresholds and flexible link functions, but is considerably faster than the other optimizers when applicable.`model.frame`

simply returns a list of model frames with the location, scale and nominal model frames.`"optim"`

uses the`"BFGS"`

method.- …
control arguments passed on to the chosen optimizer; see

`ucminf`

,`optim`

, and`nlminb`

for details.- convTol
convergence criterion on the size of the maximum absolute gradient.

- 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. This is the termination criterion and defaults to

`1e-5`

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

`10`

.

##### Value

a list of control parameters.

##### See Also

*Documentation reproduced from package ordinal, version 2019.12-10, License: GPL (>= 2)*