get_optimizer_opts: Get optimizer options

In calmr: Canonical Associative Learning Models and their Representations

Get optimizer options

Description

Get optimizer options

Usage

get_optimizer_opts(
  model_pars,
  initial_pars = rep(NA, length(model_pars)),
  ll = rep(NA, length(model_pars)),
  ul = rep(NA, length(model_pars)),
  optimizer = NULL,
  family = NULL
)

Arguments

model_pars	A character vector specifying the name of the parameters to fit.
initial_pars	A numeric vector specifying the initial parameter values to #' evaluate the model at (required by optim). Defaults to 0 for each parameter.
ll, ul	A numeric vector specifying the lower and upper limits of the parameters to fit, respectively
optimizer	A string specifying the optimizer to use. One from c("optim", "ga")
family	A string specifying the family function to generate responses (and calculate the likelihood function with). One from c("identity", "normal", "poisson").

Value

A list with optimizer options.

Note

Whenever a family function other than the identity is used, the family-specific parameters will always be appended to the end of the relevant lists.

See Also

fit_model()

calmr documentation built on June 8, 2025, 1:03 p.m.