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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

33,040

Version

2.7.4

License

Apache License (== 2.0)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/OpenMx/OpenMx

Homepage

http://openmx.ssri.psu.edu

Maintainer

Joshua Pritikin

Last Published

January 17th, 2017

Functions in OpenMx (2.7.4)

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

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

Bivariate twin data example from Classic Mx Manual

imxCheckMatrices

imxCheckMatrices

imxAddDependency

Add a dependency

Matrix exponential

Example Factor Analysis Data

imxCreateMatrix

Create a matrix

Valid types of data that can be contained by MxData

imxGenerateNamespace

imxGenerateNamespace

imxGenericModelBuilder

imxGenericModelBuilder

imxExtractReferences

imxExtractReferences

imxExtractNames

imxExtractNames

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxCheckVariables

imxCheckVariables

imxGentleResize

Resize an MxMatrix while preserving entries

imxLocateFunction

imxLocateFunction

imxReplaceMethod

imxReplaceMethod

Eigenvector/Eigenvalue Decomposition

imxConvertLabel

imxConvertLabel

imxConvertSubstitution

imxConvertSubstitution

DZ opposite sex data

imxFlattenModel

Remove heirarchical structure from model

imxSquareMatrix

imxSquareMatrix

imxSparseInvert

Sparse symmetric matrix invert

imxPPML.Test.Battery

imxPPML.Test.Battery

MxAlgebraFormula-class

MxAlgebraFormula

imxRowGradients

imxRowGradients

imxUntitledNumberReset

imxUntitledNumberReset

imxVerifyReference

imxVerifyReference

imxUpdateModelValues

imxUpdateModelValues

Joint Ordinal and continuous variables to be modeled together

MxCompute-class

Data for multiple regression

MxAlgebra-class

MxAlgebra Class

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

mxComputeNothing

Compute nothing

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

mxExpectationRAM

Create an MxExpectationRAM Object

imxDependentModels

Are submodels dependence?

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

Deparse for MxObjects

Extract Diagonal of a Matrix

Demonstration data for a two factor model

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxGenerateLabels

imxGenerateLabels

Test thread-safe output code

imxConstraintRelations

imxConstraintRelations

imxLookupSymbolTable

imxLookupSymbolTable

imxExtractMethod

imxExtractMethod

imxConvertIdentifier

imxConvertIdentifier

imxGetSlotDisplayNames

imxGetSlotDisplayNames

imxHasConstraint

imxHasConstraint

mxAlgebraFromString

Create MxAlgebra object from a string

MxCharOrList-class

A character, list or NULL

MxDataStatic-class

Create static data

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

MxCharOrNumber-class

A character or integer

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

MxExpectation-class

Estimate Kalman scores and error covariance matrices

MxFlatModel-class

mxFitFunctionWLS

Create MxFitFunctionWLS Object

Estimate Modification Indices for MxModel Objects

MxLISRELModel-class

DEPRECATED: Create MxMLObjective Object

Compute standard errors in OpenMx

Rename MxModel or a Submodel

Restore From Checkpoint File

mxSetDefaultOptions

Reset global options to the default

Example regression data with correlated predictors

Twin data on weight and height

imxSeparatorChar

imxSeparatorChar

Matrix logarithm

imxSymmetricMatrix

imxSymmetricMatrix

Demonstration data for a one factor model

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

Vectorize By Column

imxReplaceModels

Replace parts of a model

MxBaseExpectation-class

MxBaseExpectation

MxBaseNamed-class

mxComputeReportDeriv

Report derivatives

Compute something once

Create dynamic data

MxBaseFitFunction-class

MxBaseFitFunction

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

nuclear_twin_design_data

Twin data from a nuclear family design

Correct Error Message Function

omxCheckIdentical

Exact Equality Testing Function

omxGetParameters

Fetch Model Parameters

omxNameAnonymousParameters

omxNameAnonymousParameters

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

MxExpectationGREML-class

Class "MxExpectationGREML"

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

mxFitFunctionGREML

Create MxFitFunctionGREML Object

Generate data based on an MxModel object

Extract the component from a model's expectation

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

mxFitFunctionRow

Create an MxFitFunctionRow Object

Create MxFitFunctionR Object

Create MxMatrix Object

DEPRECATED: Create MxRObjective Object

DEPRECATED: Create MxRowObjective Object

Vectorize By Row

Create MxModel Object

MxRAMMetaData-class

Meta Data for RAM

MxRAMGraph-class

Send a Model to the Optimizer

imxIndependentModels

Are submodels independent?

Save End State to Checkpoint File

imxModelBuilder

imxModelBuilder

imxReservedNames

imxReservedNames

imxUntitledNumber

imxUntitledNumber

imxReverseIdentifier

imxReverseIdentifier

imxUntitledName

imxUntitledName

imxVariableTypes

imxVariableTypes

imxVerifyMatrix

imxVerifyMatrix

Create mxCI Object

mxComputeIterate

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

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

omxAssignFirstParameters

Assign First Available Values to Model Parameters

Example regression data with correlated predictors

myLongitudinalData

Data for a linear latent growth curve model

Make Brownies in OpenMx

Logical mxAlgebra() operators

omxCheckSetEquals

Set Equality Testing Function

omxCheckNamespace

omxCheckNamespace

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

Twin data on weight and height

Australian twin sample biometric data.

MxFitFunction-class

MxDirectedGraph-class

MxDirectedGraph

Evaluate Values in MxModel

mxGREMLDataHandler

Helper Function for Structuring GREML Data

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

MxInterval-class

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

Create MxBounds Object

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeReportExpectation

Report expectation

Bollen Data on Industrialization and Political Democracy

BaseCompute-class

A C implementation of dmvnorm

mxComputeTryHard

Repeatedly attempt a compute plan until successful

Bivariate twin data example from Classic Mx Manual

Set difference on regular types or S4 objects

imxHasDefinitionVariable

imxHasDefinitionVariable

MxOptionalChar-class

An optional character

mxExpectationNormal

Create MxExpectationNormal Object

mxExpectationGREML

Create MxExpectationGREML Object

MxOptionalLogical-class

An optional logical

DEPRECATED: Create MxRAMObjective Object

MxRAMModel-class

MxOptionalCharOrNumber-class

A character, integer, or NULL

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

MxOptionalMatrix-class

An optional matrix

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

List Currently Available Model Types

myGrowthMixtureData

Data for a growth mixture model

Returns Current Version String

Boolean Equality Testing Function

myAutoregressiveData

Example data with autoregressively related columns

Example 500-row dataset with 12 generated variables

omxCheckWarning

Correct Warning Message Function

omxMatrixOperations

MxMatrix operations

Multivariate Normal Integration

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

omxSaturatedModel

Create Reference (Saturated and Independence) Models

imxPreprocessModel

imxPreprocessModel

imxPPML.Test.Test

imxPPML.Test.Test

imxIsDefinitionVariable

imxIsDefinitionVariable

imxReportProgress

Report backend progress

imxSimpleRAMPredicate

imxSimpleRAMPredicate

latentMultipleRegExample1

Example data for multiple regression among latent variables

latentMultipleRegExample2

Example data for multiple regression among latent variables

mxAvailableOptimizers

mxAvailableOptimizers

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxComputeDefault

Default compute plan

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

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

mxComputeHessianQuality

Compute the quality of the Hessian

MZ female example twin data

MZ Male example data

omxCheckCloseEnough

Approximate Equality Testing Function

Equality Testing Function

omxConstrainMLThresholds

omxConstrainMLThresholds

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

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

ordinalTwinData

Data for ordinal twin model

All Interval Multivariate Normal Integration

On-Demand Parallel Apply

omxLocateParameters

Summarize Model Parameters

On-Demand Parallel Lapply

Inverse Half-vectorization

omxSetParameters

Assign Model Parameters

Strict Half-vectorization

Internal OpenMx algebra operations

Create MxConstraint Object

MxConstraint-class

Class "MxConstraint"

mxFitFunctionML

Create MxFitFunctionML Object

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

Fail-safe Factors

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

MxListOrNull-class

An optional list

mxNormalQuantiles

mxNormalQuantiles

MxOptionalNumeric-class

An optional numeric

Set or Clear an Optimizer Option

Create List of Paths

numeric Hessian data 2

numeric Hessian data 1

Make multiple attempts to run a model

omxDefaultComputePlan

Construct default compute plan

Create List of Thresholds

Show RAM Model in Graphviz Format

Get the RMSEA with confidence intervals from model

On-Demand Parallel Sapply

Create Diagonal Matrix From Vector

Inverse Strict Half-vectorization

Half-vectorization