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.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
, andnlminb
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.