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OpenMx

A Structural Equation Modeling package encouraging users to treat model specifications as something able 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 FIML, ML and WLS.

We have an active development branch. on github.

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 and this is accessible to more intrepid users.

Commits should be tested using make test, which runs all the tests in models/passing, and also make cran-check. buildbot updates the stable branch only 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

24,178

Version

2.6.7

License

Apache License (== 2.0)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/OpenMx/OpenMx

Homepage

http://openmx.psyc.virginia.edu

Maintainer

Joshua Pritikin

Last Published

June 22nd, 2016

Functions in OpenMx (2.6.7)

BaseCompute-class

Vectorize By Column

Eigenvector/Eigenvalue Decomposition

DZ opposite sex data

Demonstration data for a two factor model

Extract Diagonal of a Matrix

Demonstration data for a one factor model

Bollen Data on Industrialization and Political Democracy

Matrix exponential

Example Factor Analysis Data

Bivariate twin data example from Classic Mx Manual

imxAddDependency

Add a dependency

imxCheckMatrices

imxCheckMatrices

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

Bivariate twin data example from Classic Mx Manual

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

HS.ability.data

Holzinger and Swineford (1939) Ability data in 301 children from two schools

imxExtractMethod

imxExtractMethod

imxCreateMatrix

Create a matrix

Valid types of data that can be contained by MxData

imxGentleResize

Resize an MxMatrix while preserving entries

imxIsDefinitionVariable

imxIsDefinitionVariable

Test thread-safe output code

imxLookupSymbolTable

imxLookupSymbolTable

imxCheckVariables

imxCheckVariables

imxExtractReferences

imxExtractReferences

imxExtractNames

imxExtractNames

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxUntitledName

imxUntitledName

imxRowGradients

imxRowGradients

Joint Ordinal and continuous variables to be modeled together

latentMultipleRegExample1

Example data for multiple regression among latent variables

MxAlgebraFormula-class

MxAlgebraFormula

mxComputeIterate

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

mxAlgebraFromString

Create MxAlgebra object from a string

mxCheckIdentification

Check that a model is locally identified

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxDataStatic-class

Create static data

MxExpectationGREML-class

Class "MxExpectationGREML"

imxConvertLabel

imxConvertLabel

Set difference on regular types or S4 objects

imxConvertSubstitution

imxConvertSubstitution

A C implementation of dmvnorm

imxGetSlotDisplayNames

imxGetSlotDisplayNames

imxHasConstraint

imxHasConstraint

imxModelBuilder

imxModelBuilder

imxSeparatorChar

imxSeparatorChar

Matrix logarithm

imxSparseInvert

Sparse symmetric matrix invert

imxSimpleRAMPredicate

imxSimpleRAMPredicate

MxBaseNamed-class

latentMultipleRegExample2

Example data for multiple regression among latent variables

imxFlattenModel

Remove heirarchical structure from model

imxGenerateNamespace

imxGenerateNamespace

imxGenericModelBuilder

imxGenericModelBuilder

imxIndependentModels

Are submodels independent?

imxSymmetricMatrix

imxSymmetricMatrix

imxSquareMatrix

imxSquareMatrix

imxVerifyMatrix

imxVerifyMatrix

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxAvailableOptimizers

mxAvailableOptimizers

Create mxCI Object

Create dynamic data

Assign Model Parameters

Create MxData Object

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

imxConstraintRelations

imxConstraintRelations

imxConvertIdentifier

imxConvertIdentifier

imxHasDefinitionVariable

imxHasDefinitionVariable

imxLocateFunction

imxLocateFunction

imxPreprocessModel

imxPreprocessModel

imxPPML.Test.Test

imxPPML.Test.Test

imxReverseIdentifier

imxReverseIdentifier

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

mxComputeDefault

Default compute plan

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

MxCompute-class

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

MxConstraint-class

MxConstraint Class

Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithm

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

Extract the component from a model's expectation

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

MxListOrNull-class

An optional list

MxLISRELModel-class

MxOptionalMatrix-class

An optional matrix

MxOptionalNumeric-class

An optional numeric

DEPRECATED: Create MxRowObjective Object

Send a Model to the Optimizer

omxAssignFirstParameters

Assign First Available Values to Model Parameters

mxGREMLDataHandler

Helper Function for Structuring GREML Data

Create MxModel Object

Restore From Checkpoint File

DEPRECATED: Create MxRObjective Object

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

MxCharOrList-class

A character, list or NULL

imxUpdateModelValues

imxUpdateModelValues

MxCharOrNumber-class

A character or integer

imxVariableTypes

imxVariableTypes

Compute something once

mxComputeReportDeriv

Report derivatives

Create MxConstraint Object

Evaluate Values in MxModel

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

imxReservedNames

imxReservedNames

imxUntitledNumberReset

imxUntitledNumberReset

imxUntitledNumber

imxUntitledNumber

imxVerifyReference

imxVerifyReference

MxAlgebra-class

MxAlgebra Class

Create MxAlgebra Object

Create MxBounds Object

omxCheckSetEquals

Set Equality Testing Function

omxLocateParameters

Summarize Model Parameters

Make Brownies in OpenMx

omxCheckNamespace

omxCheckNamespace

Logical mxAlgebra() operators

Australian twin sample biometric data.

Create Diagonal Matrix From Vector

MxOptionalCharOrNumber-class

A character, integer, or NULL

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

Create MxFitFunctionR Object

MxRAMModel-class

MxRAMMetaData-class

Meta Data for RAM

MxOptionalLogical-class

An optional logical

Save End State to Checkpoint File

mxSetDefaultOptions

Reset global options to the default

myLongitudinalData

Data for a linear latent growth curve model

Example regression data with correlated predictors

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

Deparse for MxObjects

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxDependentModels

Are submodels dependence?

imxGenerateLabels

imxGenerateLabels

imxPPML.Test.Battery

imxPPML.Test.Battery

MZ female example twin data

All Interval Multivariate Normal Integration

MZ Male example data

On-Demand Parallel Apply

Multivariate Normal Integration

omxNameAnonymousParameters

omxNameAnonymousParameters

Get the RMSEA with confidence intervals from model

omxCheckIdentical

Exact Equality Testing Function

Correct Error Message Function

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

omxSaturatedModel

Create Reference (Saturated and Independence) Models

omxMatrixOperations

MxMatrix operations

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

mxExpectationGREML

Create MxExpectationGREML Object

mxFitFunctionGREML

Create MxFitFunctionGREML Object

mxFitFunctionML

Create MxFitFunctionML Object

DEPRECATED: Create MxMLObjective Object

Estimate Modification Indices for MxModel Objects

Rename MxModel or a Submodel

DEPRECATED: Create MxRAMObjective Object

mxFitFunctionRow

Create an MxFitFunctionRow Object

mxFitFunctionWLS

Create MxFitFunctionWLS Object

On-Demand Parallel Sapply

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

imxReplaceModels

Replace parts of a model

Twin data on weight and height

MxBaseExpectation-class

MxBaseExpectation

imxReplaceMethod

imxReplaceMethod

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

MxBaseFitFunction-class

MxBaseFitFunction

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

Data for multiple regression

mxComputeHessianQuality

Compute the quality of the Hessian

mxExpectationNormal

Create MxExpectationNormal Object

mxExpectationRAM

Create an MxExpectationRAM Object

myGrowthMixtureData

Data for a growth mixture model

omxCheckCloseEnough

Approximate Equality Testing Function

omxCheckWarning

Correct Warning Message Function

Boolean Equality Testing Function

Equality Testing Function

omxGetParameters

Fetch Model Parameters

Half-vectorization

Inverse Half-vectorization

mxComputeReportExpectation

Report expectation

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeNothing

Compute nothing

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

MxDirectedGraph-class

MxDirectedGraph

MxFlatModel-class

Fail-safe Factors

MxExpectation-class

Generate data based on an MxModel object

Set or Clear an Optimizer Option

List Currently Available Model Types

MxOptionalChar-class

An optional character

Returns Current Version String

Example 500-row dataset with 12 generated variables

myAutoregressiveData

Example data with autoregressively related columns

omxNormalQuantiles

omxNormalQuantiles

nuclear_twin_design_data

Twin data from a nuclear family design

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

MxFitFunction-class

MxInterval-class

Estimate Kalman scores and error covariance matrices

Create List of Paths

Create MxMatrix Object

MxRAMGraph-class

Create List of Thresholds

Make multiple attempts to run a model

Example regression data with correlated predictors

Twin data on weight and height

numeric Hessian data 1

numeric Hessian data 2

Show RAM Model in Graphviz Format

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

On-Demand Parallel Lapply

omxSetParameters

Assign Model Parameters

omxConstrainMLThresholds

omxConstrainMLThresholds

Internal OpenMx algebra operations

OpenMx: An package for Structural Equation Modeling and Matrix Algebra Optimization

ordinalTwinData

Data for ordinal twin model

Strict Half-vectorization

Inverse Strict Half-vectorization

Vectorize By Row

summary.MxModel