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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

2.6.9

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

July 28th, 2016

Functions in OpenMx (2.6.9)

Demonstration data for a two factor model

Eigenvector/Eigenvalue Decomposition

Example Factor Analysis Data

Matrix exponential

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

Bivariate twin data example from Classic Mx Manual

HS.ability.data

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

imxCheckMatrices

imxCheckMatrices

Bivariate twin data example from Classic Mx Manual

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

imxAddDependency

Add a dependency

Deparse for MxObjects

imxCheckVariables

imxCheckVariables

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxExtractMethod

imxExtractMethod

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

imxHasConstraint

imxHasConstraint

imxGetSlotDisplayNames

imxGetSlotDisplayNames

Set difference on regular types or S4 objects

A C implementation of dmvnorm

imxCreateMatrix

Create a matrix

imxLocateFunction

imxLocateFunction

Valid types of data that can be contained by MxData

imxFlattenModel

Remove heirarchical structure from model

imxGenerateLabels

imxGenerateLabels

imxConstraintRelations

imxConstraintRelations

imxConvertIdentifier

imxConvertIdentifier

imxIsDefinitionVariable

imxIsDefinitionVariable

imxGentleResize

Resize an MxMatrix while preserving entries

imxLookupSymbolTable

imxLookupSymbolTable

Test thread-safe output code

imxReplaceMethod

imxReplaceMethod

imxUntitledName

imxUntitledName

imxReplaceModels

Replace parts of a model

imxConvertLabel

imxConvertLabel

imxExtractReferences

imxExtractReferences

imxGenerateNamespace

imxGenerateNamespace

imxExtractNames

imxExtractNames

imxConvertSubstitution

imxConvertSubstitution

imxGenericModelBuilder

imxGenericModelBuilder

imxPPML.Test.Battery

imxPPML.Test.Battery

Vectorize By Column

mxAvailableOptimizers

mxAvailableOptimizers

Demonstration data for a one factor model

MxBaseExpectation-class

MxBaseExpectation

Create mxCI Object

MxCompute-class

Compute something once

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

MxExpectationGREML-class

Class "MxExpectationGREML"

BaseCompute-class

imxSquareMatrix

imxSquareMatrix

Bollen Data on Industrialization and Political Democracy

imxSymmetricMatrix

imxSymmetricMatrix

Joint Ordinal and continuous variables to be modeled together

latentMultipleRegExample1

Example data for multiple regression among latent variables

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxAlgebraFromString

Create MxAlgebra object from a string

mxComputeReportDeriv

Report derivatives

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

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

mxComputeReportExpectation

Report expectation

mxExpectationNormal

Create MxExpectationNormal Object

mxExpectationGREML

Create MxExpectationGREML Object

Estimate Kalman scores and error covariance matrices

MxLISRELModel-class

DEPRECATED: Create MxRAMObjective Object

Rename MxModel or a Submodel

Create MxModel Object

myAutoregressiveData

Example data with autoregressively related columns

numeric Hessian data 1

Example 500-row dataset with 12 generated variables

numeric Hessian data 2

omxGetParameters

Fetch Model Parameters

omxNormalQuantiles

omxNormalQuantiles

Get the RMSEA with confidence intervals from model

On-Demand Parallel Sapply

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxDependentModels

Are submodels dependence?

Extract Diagonal of a Matrix

imxHasDefinitionVariable

imxHasDefinitionVariable

imxIndependentModels

Are submodels independent?

imxModelBuilder

imxModelBuilder

imxSeparatorChar

imxSeparatorChar

imxVerifyMatrix

imxVerifyMatrix

imxReservedNames

imxReservedNames

DZ opposite sex data

MxCharOrNumber-class

A character or integer

MxConstraint-class

MxConstraint Class

imxUpdateModelValues

imxUpdateModelValues

Create MxConstraint Object

imxVariableTypes

imxVariableTypes

latentMultipleRegExample2

Example data for multiple regression among latent variables

MxAlgebra-class

MxAlgebra Class

Matrix logarithm

MxAlgebraFormula-class

MxAlgebraFormula

Create MxBounds Object

MxCharOrList-class

A character, list or NULL

Inverse Strict Half-vectorization

mxComputeSequence

Invoke a series of compute objects in sequence

MxFitFunction-class

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

Generate data based on an MxModel object

Extract the component from a model's expectation

MxListOrNull-class

An optional list

Save End State to Checkpoint File

mxSetDefaultOptions

Reset global options to the default

MxOptionalCharOrNumber-class

A character, integer, or NULL

imxPreprocessModel

imxPreprocessModel

MxOptionalLogical-class

An optional logical

imxPPML.Test.Test

imxPPML.Test.Test

imxRowGradients

imxRowGradients

imxSparseInvert

Sparse symmetric matrix invert

imxSimpleRAMPredicate

imxSimpleRAMPredicate

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

imxVerifyReference

imxVerifyReference

MxDataStatic-class

Create static data

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

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

MxExpectation-class

MxFlatModel-class

mxFitFunctionWLS

Create MxFitFunctionWLS Object

Estimate Modification Indices for MxModel Objects

MxBaseNamed-class

MxBaseFitFunction-class

MxBaseFitFunction

Restore From Checkpoint File

mxComputeHessianQuality

Compute the quality of the Hessian

DEPRECATED: Create MxMLObjective Object

mxComputeIterate

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

Create dynamic data

mxFitFunctionGREML

Create MxFitFunctionGREML Object

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

List Currently Available Model Types

MxOptionalChar-class

An optional character

Set or Clear an Optimizer Option

Returns Current Version String

nuclear_twin_design_data

Twin data from a nuclear family design

All Interval Multivariate Normal Integration

On-Demand Parallel Apply

On-Demand Parallel Lapply

Show RAM Model in Graphviz Format

omxLocateParameters

Summarize Model Parameters

Logical mxAlgebra() operators

myLongitudinalData

Data for a linear latent growth curve model

DEPRECATED: Create MxRObjective Object

Example regression data with correlated predictors

Correct Error Message Function

omxCheckIdentical

Exact Equality Testing Function

Boolean Equality Testing Function

omxNameAnonymousParameters

omxNameAnonymousParameters

Multivariate Normal Integration

omxCheckWarning

Correct Warning Message Function

imxReverseIdentifier

imxReverseIdentifier

omxSaturatedModel

Create Reference (Saturated and Independence) Models

imxUntitledNumber

imxUntitledNumber

imxUntitledNumberReset

imxUntitledNumberReset

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

mxComputeDefault

Default compute plan

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

Data for multiple regression

DEPRECATED: Create MxRowObjective Object

Send a Model to the Optimizer

omxCheckNamespace

omxCheckNamespace

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

myGrowthMixtureData

Data for a growth mixture model

Twin data on weight and height

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

omxCheckSetEquals

Set Equality Testing Function

omxMatrixOperations

MxMatrix operations

omxConstrainMLThresholds

omxConstrainMLThresholds

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

Fail-safe Factors

Australian twin sample biometric data.

mxFitFunctionML

Create MxFitFunctionML Object

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

MxOptionalMatrix-class

An optional matrix

MxOptionalNumeric-class

An optional numeric

Create MxMatrix Object

omxSetParameters

Assign Model Parameters

Create List of Thresholds

Create Diagonal Matrix From Vector

Make multiple attempts to run a model

Internal OpenMx algebra operations

Half-vectorization

omxAssignFirstParameters

Assign First Available Values to Model Parameters

Twin data on weight and height

Make Brownies in OpenMx

Example regression data with correlated predictors

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

ordinalTwinData

Data for ordinal twin model

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

Inverse Half-vectorization

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

Strict Half-vectorization

MxDirectedGraph-class

MxDirectedGraph

mxComputeNothing

Compute nothing

Evaluate Values in MxModel

Create MxFitFunctionR Object

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

mxExpectationRAM

Create an MxExpectationRAM Object

mxFitFunctionRow

Create an MxFitFunctionRow Object

mxGREMLDataHandler

Helper Function for Structuring GREML Data

MxInterval-class

Create List of Paths

MxRAMMetaData-class

Meta Data for RAM

MxRAMModel-class

MxRAMGraph-class

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

MZ female example twin data

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

MZ Male example data

omxCheckCloseEnough

Approximate Equality Testing Function

Equality Testing Function

Vectorize By Row