preprocess.optim: Pre-process: arguments for optimization function

In mapbayr: MAP-Bayesian Estimation of PK Parameters

Pre-process: arguments for optimization function

Description

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)

mapbayr documentation built on July 26, 2023, 5:16 p.m.