R: Apply 'optimizer' object

apply_optimizer {optimizeR}

R Documentation

Apply `optimizer` object

This function performs numerical optimization using an optimizer object.

apply_optimizer(optimizer = optimizer_nlm(), objective, initial, ...)

`optimizer`	An object of class `optimizer`.
`objective`	A `function` to be optimized, returning a single `numeric`. Its first argument must be a `numeric` vector of the same length as `initial`, followed by any other arguments specified by the `...` argument.
`initial`	A `numeric` vector with starting parameter values for the optimization.
`...`	Additional arguments to be passed to `optimizer`.

A named list, containing at least these four elements:

value: A numeric, the value of the estimated optimum of objective.
parameter: A numeric vector, the parameter vector where the optimum of objective is obtained.
seconds: A numeric, the total optimization time in seconds.
initial: A numeric, the initial parameter values.

Appended are additional output elements of the optimizer (if not excluded by the output_ignore element via define_optimizer).

apply_optimizer(optimizer_nlm(), function(x) x^4 + 3*x - 5, 2)

[Package optimizeR version 1.1.1 Index]