Pre-process: arguments for optimization function

Pre-process: arguments for optimization function

Usage

preprocess.optim(
  x,
  method = c("L-BFGS-B", "newuoa"),
  select_eta = NULL,
  control = list(),
  force_initial_eta = NULL,
  quantile_bound = 0.001
)

Arguments

x

the model object

method

optimization method; the default is "L-BFGS-B" (from stat::optim()), alternatively "newuoa" for minqa::newuoa()

select_eta

a vector of numeric values, the numbers of the ETAs to be estimated (default is NULL, all ETAs non-equal to zero)

control

a list passed to the optimizer (see stats::optim() or minqa::newuoa() documentation)

force_initial_eta

a vector of numeric values to start the estimation from (default to 0 for "L-BFGS-B")

quantile_bound

a numeric value representing the quantile of the normal distribution admitted to define the bounds for L-BFGS-B (default is 0.001, i.e. 0.1%)

Value

a list of named arguments passed to optimizer (i.e. arg.optim)