set.EAM.hyperparameters: Set default hyperparameters for EAM algorithm
In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

set.EAM.hyperparameters

R Documentation

Set default hyperparameters for EAM algorithm

This function returns a list with the (default) hyperparameters used in the EAM algorithm

set.EAM.hyperparameters(options)

options

A list of user-specified values for (some of) the hyperparameters. These hyperparameters can include:

min.dist/max.dist:: The minimum/maximum distance of sampled points from the current best value for the coefficient of interest.
min.eval/max.eval:: The minimum/maximum number of points evaluated in the initial feasible point search.
nbr.init.sample.points:: The total number of drawn points required in the initial drawing process.
nbr.init.unif:: The total number of uniformly drawn points in the initial set of starting values.
nbr.points.per.iter.init:: Number of points sampled per iteration in the initial drawing process.
nbr.start.vals:: Number of starting values for which to run the optimization algorithm for the expected improvement.
nbr.opt.EI:: Number of optimal theta values found by the optimization algorithm to return.
nbr.extra:: Number of extra randomly drawn points to add to the set of optimal theta values (to be supplied to the next E-step).
min.improvement:: Minimum amount that the current best root of the violation curve should improve by wrt. the its previous value.
min.possible.improvement:: Minimum amount that the next iteration should be able to improve upon the current best value of the root.
EAM.min.iter:: Minimum amount of EAM iterations to run.
max.iter:: Maximum amount of EAM iterations to run.