R: Construct default compute plan

omxDefaultComputePlan {OpenMx} | R Documentation

## Construct default compute plan

### Description

This function generates a default compute plan, where "default compute plan" refers to an object of class MxComputeSequence which is appropriate for use in a wide variety of cases. The exact specification of the plan will depend upon the arguments provided to `omxDefaultComputePlan()`.

### Usage

    omxDefaultComputePlan(modelName=NULL, intervals=FALSE,
      useOptimizer=TRUE, optionList=options()$mxOption)

### Arguments

`modelName` | Optional (defaults to `NULL`) character string, providing the name of the MxModel the fitfunction of which is to be evaluated, and usually, optimized.
`intervals` | Logical; will confidence intervals be computed? Defaults to `FALSE`.
`useOptimizer` | Logical; will a fitfunction be minimized? Defaults to `TRUE`.
`optionList` | List of mxOptions. Defaults to the current list of global mxOptions.

### Details

At minimum, argument `optionList` must include “Gradient algorithm”, “Gradient iterations”, “Gradient step size”, “Calculate Hessian”, and “Standard Errors”.

### Value

Returns an object of class MxComputeSequence.

### Examples

    foo <- omxDefaultComputePlan(modelName="bar")
    str(foo)

[Package OpenMx version 2.18.1 Index]