dynfrail_control: Control parameters for dynfrail
In dynfrail: Fitting Dynamic Frailty Models with the EM Algorithm

Description Usage Arguments Details Value See Also Examples

Control parameters for dynfrail

1 2	dynfrail_control(nlm_control = list(stepmax = 1), inner_control = list(eps = 1e-04, maxit = 100, verbose = FALSE, lik_tol = 1))

`nlm_control`	A list of named arguments to be sent to `nlm` for the outer optimization.
`inner_control`	A list of parameters for the inner optimization. See details.

The nlm_control argument should not overalp with hessian, f or p.

The inner_control argument should be a list with the following items:

eps A criterion for convergence of the EM algorithm (difference between two consecutive values of the log-likelihood)
maxit The maximum number of iterations between the E step and the M step
verbose Logical, whether details of the optimization should be printed
lik_tol For values higher than this, the algorithm returns a warning when the log-likelihood decreases between EM steps. Technically, this should not happen, but if the parameter θ is somewhere really far from the maximum, numerical problems might lead in very small likelihood decreases.

The starting value of the outer optimization may be set in the dynfrail_dist() argument.

An object of the type dynfrail_control.

dynfrail, dynfrail_dist

dynfrail_control()
# this stops each EM (inner maximization) after 10 iterations, event if it did not
# reach the maximum.
dynfrail_control(inner_control = list(maxit = 10))