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 withoutscale, structured thresholds and flexible link functions, but is considerably faster than the other optimizers when applicable.model.framesimply 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, andnlminbfor 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.