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, penaltySearch=FALSE)
Arguments
modelName |
Optional (defaults to |
intervals |
Logical; will confidence intervals be computed? Defaults to |
useOptimizer |
Logical; will a fitfunction be minimized? Defaults to |
optionList |
List of mxOptions. Defaults to the current list of global mxOptions. |
penaltySearch |
Logical; whether to wrap the optimizer step with mxComputePenaltySearch |
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)