The maximum number of step-halvings in one iteration. The increment of the
beta vector within one iteration is divided by 2 if the new beta leads to a decrease
in log likelihood.
maxstep
Specifies the maximum step size in the beta vector within one iteration.
lconv
Specifies the convergence criterion for the log likelihood.
xconv
Specifies the convergence criterion for the parameter estimates.
ortho
Requests orthogonalization of variable for which confidence intervals are computed with respect to other covariates
pr
Request rotation of the matrix spanned by the covariates
Value
maxit
The maximum number of iterations
maxhs
The maximum number of step-halvings in one iteration. The increment of the
beta vector within one iteration is divided by 2 if the new beta leads to a decrease
in log likelihood.
maxstep
Specifies the maximum step size in the beta vector within one iteration.
lconv
Specifies the convergence criterion for the log likelihood.
xconv
Specifies the convergence criterion for the parameter estimates.
ortho
specifies if orthogonalization is requested.
pr
specifies if rotation is requested
Details
logistpl.control() is used by logistf to set control parameters to default values
when computing profile likelihood confidence intervals.
Different values can be specified, e. g., by logistf(..., control= logistf.control(maxstep=1)).