CompetingRiskFrailtySurvfitControl {CompetingRiskFrailty} | R Documentation |
The values supplied in the call of 'CompetingRiskFrailtySurvfitCreate' function will replace the defaults, and a list with all possible arguments is returned. The returned list is used as the 'control' argument to the 'CompetingRiskFrailtySurvfitCreate' function.
CompetingRiskFrailtySurvfitControl(niter.EM=50, niter.epoch = 2, tol.epoch = 1e-08, tol.variance = 1e-08, tol.frailty = 1e-06, print.penalty.mixture=TRUE,print.EM=TRUE, print.estimates=FALSE,print.log.lik=TRUE,...)
niter.EM |
maximum number of the (outer) EM-iterations. |
niter.epoch |
maximum number of the (inner) iterations in optimization for varying coefficients parameters theta and penalty parameters of their random parts, within an EM-iteration. |
tol.epoch |
tolerance for the convergence criterion for the fixed and random parameters of the varying coefficients. |
tol.variance |
tolerance for the convergence criterion for the penalty values of varying coefficients. |
tol.frailty |
tolerance for the the convergence criterion for the frailty terms. |
print.penalty.mixture |
logical value for printing the value of the penalty parameter from the specified grid of values. |
print.EM |
logical value for printing the current number of an EM-itertion. |
print.estimates |
logical value for printing the estimates of the fixed parameters theta and penalties of varying coefficients after the last EM-iteration. |
print.log.lik |
logical value for printing the marginal log likelihood of the model in each EM-iteration. |
... |
other parameters which can only be: 'num.knots' for the number of spline knots for survival time. If specified it is a vector of integer values of the length equal to the number of competing risks. If not specified, the optimal values will be defined internally. |
The defaults or user specified values are applied as the 'control' argument in the call of the 'CompetingRiskFrailtySurvfitCreate' function. It can be an (empty) list object or a call to the 'CompetingRiskFrailtySurvfitControl' function itself, whether or not with supplied arguments to be changed from their default values.
a list with components for each of the possible arguments.
Pavel Khomski <pkhomski@wiwi.uni-bielefeld.de>
Kauerman G. and Khomski P. (2006). Full time or part time reemployment: a competing risk model with frailties and smooth effects using a penalty based approach, to appear.
CompetingRiskFrailtySurvfitCreate