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.