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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

12,884

Version

2.7.2

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 10th, 2017

Functions in OpenMx (2.7.2)

Demonstration data for a one factor model

Matrix exponential

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

Bivariate twin data example from Classic Mx Manual

Example Factor Analysis Data

imxAddDependency

Add a dependency

imxCheckMatrices

imxCheckMatrices

HS.ability.data

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

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

Bivariate twin data example from Classic Mx Manual

imxConvertLabel

imxConvertLabel

imxConvertSubstitution

imxConvertSubstitution

imxExtractNames

imxExtractNames

imxExtractReferences

imxExtractReferences

imxGentleResize

Resize an MxMatrix while preserving entries

Demonstration data for a two factor model

imxPPML.Test.Battery

imxPPML.Test.Battery

Extract Diagonal of a Matrix

imxReverseIdentifier

imxReverseIdentifier

imxSimpleRAMPredicate

imxSimpleRAMPredicate

imxReservedNames

imxReservedNames

imxCheckVariables

imxCheckVariables

imxGenerateNamespace

imxGenerateNamespace

A C implementation of dmvnorm

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

Set difference on regular types or S4 objects

imxGetSlotDisplayNames

imxGetSlotDisplayNames

Vectorize By Column

imxPPML.Test.Test

imxPPML.Test.Test

imxHasConstraint

imxHasConstraint

imxReplaceMethod

imxReplaceMethod

imxPreprocessModel

imxPreprocessModel

imxConstraintRelations

imxConstraintRelations

imxHasDefinitionVariable

imxHasDefinitionVariable

imxConvertIdentifier

imxConvertIdentifier

imxFlattenModel

Remove heirarchical structure from model

BaseCompute-class

Bollen Data on Industrialization and Political Democracy

Deparse for MxObjects

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

imxDependentModels

Are submodels dependence?

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxLocateFunction

imxLocateFunction

imxReportProgress

Report backend progress

imxUntitledName

imxUntitledName

imxGenericModelBuilder

imxGenericModelBuilder

imxRowGradients

imxRowGradients

imxSymmetricMatrix

imxSymmetricMatrix

imxVariableTypes

imxVariableTypes

MxAlgebraFormula-class

MxAlgebraFormula

imxVerifyMatrix

imxVerifyMatrix

mxAlgebraFromString

Create MxAlgebra object from a string

MxCompute-class

Eigenvector/Eigenvalue Decomposition

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

imxCreateMatrix

Create a matrix

Valid types of data that can be contained by MxData

DZ opposite sex data

MxBaseNamed-class

imxExtractMethod

imxExtractMethod

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

Create MxBounds Object

mxComputeReportDeriv

Report derivatives

Compute something once

MxDirectedGraph-class

MxDirectedGraph

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

mxExpectationRAM

Create an MxExpectationRAM Object

Create dynamic data

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

imxUntitledNumber

imxUntitledNumber

imxVerifyReference

imxVerifyReference

Joint Ordinal and continuous variables to be modeled together

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

mxComputeReportExpectation

Report expectation

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeDefault

Default compute plan

imxIndependentModels

Are submodels independent?

Test thread-safe output code

imxLookupSymbolTable

imxLookupSymbolTable

imxUntitledNumberReset

imxUntitledNumberReset

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

imxUpdateModelValues

imxUpdateModelValues

Evaluate Values in MxModel

MxExpectationGREML-class

Class "MxExpectationGREML"

MxFlatModel-class

mxFitFunctionWLS

Create MxFitFunctionWLS Object

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

mxComputeTryHard

Repeatedly attempt a compute plan until successful

Create MxFitFunctionR Object

MxExpectation-class

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

Generate data based on an MxModel object

mxFitFunctionRow

Create an MxFitFunctionRow Object

Extract the component from a model's expectation

imxIsDefinitionVariable

imxIsDefinitionVariable

imxGenerateLabels

imxGenerateLabels

imxModelBuilder

imxModelBuilder

DEPRECATED: Create MxRowObjective Object

Send a Model to the Optimizer

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

Create List of Thresholds

omxCheckNamespace

omxCheckNamespace

omxCheckIdentical

Exact Equality Testing Function

omxLocateParameters

Summarize Model Parameters

imxSeparatorChar

imxSeparatorChar

imxSparseInvert

Sparse symmetric matrix invert

imxSquareMatrix

imxSquareMatrix

latentMultipleRegExample1

Example data for multiple regression among latent variables

latentMultipleRegExample2

Example data for multiple regression among latent variables

Get the RMSEA with confidence intervals from model

Logical mxAlgebra() operators

MxBaseExpectation-class

MxBaseExpectation

On-Demand Parallel Sapply

Inverse Half-vectorization

Strict Half-vectorization

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxAvailableOptimizers

mxAvailableOptimizers

mxComputeNothing

Compute nothing

Create mxCI Object

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

MxConstraint-class

Class "MxConstraint"

Create MxConstraint Object

mxExpectationNormal

Create MxExpectationNormal Object

mxExpectationGREML

Create MxExpectationGREML Object

imxReplaceModels

Replace parts of a model

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

Matrix logarithm

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

MxAlgebra-class

MxAlgebra Class

Data for multiple regression

MxCharOrList-class

A character, list or NULL

MxCharOrNumber-class

A character or integer

mxComputeIterate

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

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

Fail-safe Factors

MxListOrNull-class

An optional list

Create MxMatrix Object

Set or Clear an Optimizer Option

MxOptionalChar-class

An optional character

DEPRECATED: Create MxRAMObjective Object

Rename MxModel or a Submodel

Make multiple attempts to run a model

List Currently Available Model Types

MZ Male example data

omxAssignFirstParameters

Assign First Available Values to Model Parameters

On-Demand Parallel Apply

omxCheckWarning

Correct Warning Message Function

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

Multivariate Normal Integration

omxNameAnonymousParameters

omxNameAnonymousParameters

MxFitFunction-class

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

mxGREMLDataHandler

Helper Function for Structuring GREML Data

MxInterval-class

MxOptionalCharOrNumber-class

A character, integer, or NULL

MxOptionalLogical-class

An optional logical

MxRAMMetaData-class

Meta Data for RAM

MxRAMModel-class

Example regression data with correlated predictors

Example regression data with correlated predictors

Make Brownies in OpenMx

omxCheckCloseEnough

Approximate Equality Testing Function

omxSetParameters

Assign Model Parameters

Internal OpenMx algebra operations

omxNormalQuantiles

omxNormalQuantiles

Vectorize By Row

mxFitFunctionGREML

Create MxFitFunctionGREML Object

Estimate Kalman scores and error covariance matrices

MxLISRELModel-class

MxOptionalNumeric-class

An optional numeric

MxOptionalMatrix-class

An optional matrix

Compute standard errors in OpenMx

Save End State to Checkpoint File

Example 500-row dataset with 12 generated variables

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

MxBaseFitFunction-class

MxBaseFitFunction

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

MxDataStatic-class

Create static data

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

mxComputeHessianQuality

Compute the quality of the Hessian

Estimate Modification Indices for MxModel Objects

mxFitFunctionML

Create MxFitFunctionML Object

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

DEPRECATED: Create MxMLObjective Object

Create MxModel Object

Create List of Paths

MxRAMGraph-class

mxSetDefaultOptions

Reset global options to the default

Restore From Checkpoint File

MZ female example twin data

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

DEPRECATED: Create MxRObjective Object

Twin data on weight and height

Returns Current Version String

myGrowthMixtureData

Data for a growth mixture model

myAutoregressiveData

Example data with autoregressively related columns

myLongitudinalData

Data for a linear latent growth curve model

nuclear_twin_design_data

Twin data from a nuclear family design

omxConstrainMLThresholds

omxConstrainMLThresholds

numeric Hessian data 1

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

omxDefaultComputePlan

Construct default compute plan

omxMatrixOperations

MxMatrix operations

All Interval Multivariate Normal Integration

numeric Hessian data 2

omxCheckSetEquals

Set Equality Testing Function

Boolean Equality Testing Function

omxGetParameters

Fetch Model Parameters

Half-vectorization

Create Diagonal Matrix From Vector

Inverse Strict Half-vectorization

Equality Testing Function

On-Demand Parallel Lapply

Show RAM Model in Graphviz Format

Correct Error Message Function

Twin data on weight and height

Australian twin sample biometric data.

omxSaturatedModel

Create Reference (Saturated and Independence) Models

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

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

ordinalTwinData

Data for ordinal twin model