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”. Users are advised to set “Calculate Hessian” and “Standard Errors” to "No" if the compute plan is to be used in an MxModel containing MxConstraints.

### Value

Returns an object of class MxComputeSequence.

### Examples

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

[Package OpenMx version 2.9.6 Index]