preprocess.optim {mapbayr} | R Documentation |
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 |
select_eta |
a vector of numeric values, the numbers of the ETAs to be estimated (default is |
control |
a list passed to the optimizer (see |
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)
[Package mapbayr version 0.10.0 Index]