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OpenMx

A Structural Equation Modeling package that encourages users to treat model specifications as something to be generated and manipulated programmatically.

Example models which OpenMx can fit include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential equations, state space, and many others.

Models may be specified as RAM or LISREL mxPaths, or directly in matrix algebra.

Fit functions include ML (summary and full information) and WLS.

The stable branch can be considered our current alpha release.

An easy way to install the stable branch is to use devtools:

require(devtools)
install_github("OpenMx/OpenMx", ref="stable")

Developers commit to the master branch. Intrepid users are encouraged to install the master branch.

The stable branch is updated automatically when all models/passing and models/nightly tests pass along with make cran-check.

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Version

Install

install.packages('OpenMx')

Monthly Downloads

24,576

Version

2.7.9

License

Apache License (== 2.0)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/OpenMx/OpenMx

Homepage

http://openmx.ssri.psu.edu

Maintainer

c(Joshua N.) Pritikin

Last Published

March 22nd, 2017

Functions in OpenMx (2.7.9)

imxReportProgress

Report backend progress

MxOptionalLogical-class

An optional logical

factorScaleExample1

imxConvertSubstitution

imxConvertSubstitution

imxCreateMatrix

Create a matrix

imxLocateFunction

imxLocateFunction

imxPreprocessModel

imxPreprocessModel

Show RAM Model in Graphviz Format

imxSquareMatrix

imxSquareMatrix

Inverse Strict Half-vectorization

imxVerifyMatrix

imxVerifyMatrix

mxAlgebraFromString

Create MxAlgebra object from a string

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxComputeNothing

Compute nothing

Create dynamic data

Create MxData Object for Least Squares (WLS, DLS, ULS) Analyses

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

Evaluate Values in MxModel

mxEvaluateOnGrid

Evaluate an algebra on an abscissa grid and collect column results

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

Create MxFitFunctionR Object

Extract the component from a model's expectation

mxNormalQuantiles

mxNormalQuantiles

Set or Clear an Optimizer Option

Estimate Kalman scores and error covariance matrices

myAutoregressiveData

Example 500-row dataset with 12 generated variables

myGrowthMixtureData

omxConstrainMLThresholds

omxConstrainMLThresholds

All Interval Multivariate Normal Integration

omxDefaultComputePlan

omxMatrixOperations

MxMatrix operations

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

ordinalTwinData

Strict Half-vectorization

imxSymmetricMatrix

imxSymmetricMatrix

Australian twin sample biometric data.

HS.ability.data

LongitudinalOverdispersedCounts

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxDataStatic-class

Create static data

MxInterval-class

MxLISRELModel-class

MxRAMModel-class

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxFlattenModel

Remove heirarchical structure from model

imxConstraintRelations

imxConstraintRelations

imxGenerateLabels

imxGenerateLabels

imxPPML.Test.Battery

imxPPML.Test.Battery

imxPPML.Test.Test

imxPPML.Test.Test

imxRowGradients

imxRowGradients

imxUntitledName

imxUntitledName

mxCheckIdentification

Check that a model is locally identified

Assign Model Parameters

MxBaseExpectation-class

MxBaseExpectation

MxBaseFitFunction-class

MxBaseFitFunction

Eigenvector/Eigenvalue Decomposition

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

Create MxConstraint Object

Create MxData Object

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

mxExpectationGREML

mxFitFunctionGREML

mxFitFunctionML

Create MxFitFunctionML Object

Estimate Modification Indices for MxModel Objects

mxLISRELObjective

Create MxLISRELObjective Object

Rename MxModel or a Submodel

Save End State to Checkpoint File

mxSetDefaultOptions

Reset global options to the default

nuclear_twin_design_data

On-Demand Parallel Sapply

omxNameAnonymousParameters

omxNameAnonymousParameters

Multivariate Normal Integration

Matrix exponential

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

Valid types of data that can be contained by MxData

imxExtractMethod

imxExtractMethod

imxExtractNames

imxExtractNames

imxGentleResize

Resize an MxMatrix while preserving entries

imxGetSlotDisplayNames

imxGetSlotDisplayNames

Half-vectorization

Inverse Half-vectorization

omxSaturatedModel

Create Reference (Saturated and Independence) Models

Test thread-safe output code

imxReverseIdentifier

imxReverseIdentifier

imxVerifyReference

imxVerifyReference

Create MxAlgebra Object

mxComputeReportExpectation

Report expectation

mxComputeSequence

Invoke a series of compute objects in sequence

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

Fail-safe Factors

Create MxMatrix Object

Send a Model to the Optimizer

Compute standard errors in OpenMx

Create List of Thresholds

Make multiple attempts to run a model

Make Brownies in OpenMx

omxCheckCloseEnough

Approximate Equality Testing Function

omxCheckSetEquals

Set Equality Testing Function

Boolean Equality Testing Function

omxLocateParameters

Summarize Model Parameters

Logical mxAlgebra() operators

Correct Error Message Function

mxExpectationRAM

Create an MxExpectationRAM Object

imxSimpleRAMPredicate

imxSimpleRAMPredicate

MxFlatModel-class

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

Create List of Paths

MxRAMGraph-class

Create Diagonal Matrix From Vector

DEPRECATED: Create MxRAMObjective Object

imxCheckMatrices

imxCheckMatrices

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

Get the RMSEA with confidence intervals from model

Set difference on regular types or S4 objects

imxReplaceModels

Replace parts of a model

imxIndependentModels

Are submodels independent?

imxSparseInvert

Sparse symmetric matrix invert

On-Demand Parallel Apply

mxExpectationHiddenMarkov

Hidden Markov expectation

mxComputeIterate

Repeatedly invoke a series of compute objects until change is less than tolerance

myGrowthKnownClassData

Compute something once

MxAlgebra-class

MxAlgebra Class

MxAlgebraFormula-class

MxAlgebraFormula

MxCharOrNumber-class

A character or integer

MxCompute-class

MxDirectedGraph-class

MxDirectedGraph

MxOptionalMatrix-class

An optional matrix

MxOptionalNumeric-class

An optional numeric

Extract Diagonal of a Matrix

factorScaleExample2

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

imxHasDefinitionVariable

imxHasDefinitionVariable

imxHasConstraint

imxHasConstraint

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

Create MxModel Object

Restore From Checkpoint File

DEPRECATED: Create MxRowObjective Object