Learn R Programming

⚠️There's a newer version (2.22.7) of this package.Take me there.

OpenMx (version 2.2.2)

Extended Structural Equation Modelling

Description

Facilitates treatment of statistical model specifications as things that can be generated and manipulated programmatically. Structural equation models may be specified with reticular action model matrices or paths, linear structural relations matrices or paths, or directly in matrix algebra. Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential equations, state space, and many others.

Copy Link

Version

Install

install.packages('OpenMx')

Monthly Downloads

18,902

Version

2.2.2

License

Apache License (== 2.0) | file LICENSE

Maintainer

Joshua Pritikin

Last Published

May 19th, 2015

Functions in OpenMx (2.2.2)

Bollen Data on Industrialization and Political Democracy

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxExtractReferences

imxExtractReferences

imxReservedNames

imxReservedNames

imxReverseIdentifier

imxReverseIdentifier

imxSymmetricMatrix

imxSymmetricMatrix

imxUntitledNumberReset

imxUntitledNumberReset

imxUntitledNumber

imxUntitledNumber

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

imxWlsStandardErrors

Calculate Standard Errors for a WLS Model

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

mxCheckIdentification

Check that a model is locally identified

MxBaseExpectation-class

MxBaseExpectation

MxRAMModel-class

mxComputeSequence

Invoke a series of compute objects in sequence

MxInterval-class

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

Valid types of data that can be contained by MxData

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

mxFitFunctionGREML

Create MxFitFunctionGREML Object

Bivariate twin data example from Classic Mx Manual

Rename MxModel or a Submodel

mxExpectationLISREL

Create MxExpectationLISREL Object

omxNameAnonymousParameters

omxNameAnonymousParameters

imxAddDependency

Add a dependency

imxIsDefinitionVariable

imxIsDefinitionVariable

MxDirectedGraph-class

MxDirectedGraph

Estimate Kalman scores and error covariance matrices

Create MxModel Object

imxPreprocessModel

imxPreprocessModel

HS.ability.data

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

DEPRECATED: Create MxRObjective Object

Make Brownies in OpenMx

MxBaseNamed-class

Example regression data with correlated predictors

MxOptionalCharOrNumber-class

A character, integer, or NULL

MxCompute-class

Extract Diagonal of a Matrix

imxUpdateModelValues

imxUpdateModelValues

Matrix logarithm

MxExpectationGREML-class

Class "MxExpectationGREML"

Demonstration data for a one factor model

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

MxCharOrNumber-class

A character or integer

Data for multiple regression

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

omxCheckNamespace

omxCheckNamespace

omxCheckSetEquals

Set Equality Testing Function

Create MxAlgebra Object

omxSetParameters

Assign Model Parameters

mxComputeIterate

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

BaseCompute-class

MxDataStatic-class

Create static data

imxCheckMatrices

imxCheckMatrices

Matrix exponential

MxBaseFitFunction-class

MxBaseFitFunction

omxConstrainMLThresholds

omxConstrainMLThresholds

Internal OpenMx algebra operations

imxConstraintRelations

imxConstraintRelations

imxConvertSubstitution

imxConvertSubstitution

imxConvertIdentifier

imxConvertIdentifier

MxOptionalChar-class

An optional character

MxLISRELModel-class

MxListOrNull-class

An optional list

mxComputeNothing

Compute nothing

MxOptionalMatrix-class

An optional matrix

myAutoregressiveData

Example data with autoregressively related columns

Demonstration data for a two factor model

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

MxAlgebraFormula-class

MxAlgebraFormula

A C implementation of dmvnorm

MxOptionalLogical-class

An optional logical

MxRAMMetaData-class

Meta Data for RAM

imxGenerateNamespace

imxGenerateNamespace

myLongitudinalData

Data for a linear latent growth curve model

imxExtractMethod

imxExtractMethod

imxFlattenModel

Remove heirarchical structure from model

MxRAMGraph-class

imxGenerateLabels

imxGenerateLabels

numeric Hessian data 1

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

imxPPML.Test.Test

imxPPML.Test.Test

Eigenvector/Eigenvalue Decomposition

imxCreateMatrix

Create a matrix

imxCheckVariables

imxCheckVariables

Deparse for MxObjects

Get the RMSEA with confidence intervals from model

imxConvertLabel

imxConvertLabel

imxVerifyReference

imxVerifyReference

imxReplaceMethod

imxReplaceMethod

mxComputeDefault

Default compute plan

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxExtractNames

imxExtractNames

imxIndependentModels

Are submodels independent?

imxDependentModels

Are submodels dependence?

Joint Ordinal and continuous variables to be modeled together

imxGetSlotDisplayNames

imxGetSlotDisplayNames

Create mxCI Object

imxPPML.Test.Battery

imxPPML.Test.Battery

Test thread-safe output code

imxReplaceModels

Replace parts of a model

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

mxComputeReportDeriv

Report derivatives

Vectorize By Row

imxFilterDefinitionVariables

imxFilterDefinitionVariables

omxAssignFirstParameters

Assign First Available Values to Model Parameters

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

imxSquareMatrix

imxSquareMatrix

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

Create dynamic data

DEPRECATED: Create MxMLObjective Object

imxGenericModelBuilder

imxGenericModelBuilder

imxUntitledName

imxUntitledName

imxModelBuilder

imxModelBuilder

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

imxSimpleRAMPredicate

imxSimpleRAMPredicate

imxSeparatorChar

imxSeparatorChar

Create MxData Object

imxSparseInvert

Sparse symmetric matrix invert

imxWlsChiSquare

Calculate Chi Square for a WLS Model

Create MxBounds Object

mxFitFunctionRow

Create an MxFitFunctionRow Object

mxComputeHessianQuality

Compute the quality of the Hessian

Evaluate Values in MxModel

omxGetParameters

Fetch Model Parameters

mxExpectationRAM

Create an MxExpectationRAM Object

Assign Model Parameters

imxVariableTypes

imxVariableTypes

Estimate Modification Indices for MxModel Objects

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

Create MxConstraint Object

imxVerifyMatrix

imxVerifyMatrix

mxFitFunctionML

Create MxFitFunctionML Object

Create MxFitFunctionR Object

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

latentMultipleRegExample1

Example data for multiple regression among latent variables

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

latentMultipleRegExample2

Example data for multiple regression among latent variables

MxExpectation-class

mxExpectationGREML

Create MxExpectationGREML Object

Create MxMatrix Object

Vectorize By Column

DZ opposite sex data

MxFitFunction-class

mxFitFunctionWLS

Create MxFitFunctionWLS Object

MZ female example twin data

Example Factor Analysis Data

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

mxGREMLDataHandler

Helper Function for Structuring GREML Data

Fail-safe Factors

Returns Current Version String

Twin data on weight and height

Extract the component from a model's expectation

mxSetDefaultOptions

Reset global options to the default

Make multiple attempts to run a model

DEPRECATED: Create MxRAMObjective Object

Example 500-row dataset with 12 generated variables

mxLISRELObjective

Create MxLISRELObjective Object

DEPRECATED: Create MxRowObjective Object

List Currently Available Model Types

nuclear_twin_design_data

Twin data from a nuclear family design

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

myGrowthMixtureData

Data for a growth mixture model

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

imxLookupSymbolTable

imxLookupSymbolTable

omxLocateParameters

Summarize Model Parameters

imxLocateFunction

imxLocateFunction

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

Logical mxAlgebra() operators

omxSaturatedModel

Create Reference (Saturated and Independence) Models

Set difference on regular types or S4 objects

omxCheckCloseEnough

Approximate Equality Testing Function

ordinalTwinData

Data for ordinal twin model

All Interval Multivariate Normal Integration

omxCheckWarning

Correct Warning Message Function

Correct Error Message Function

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

Create Diagonal Matrix From Vector

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

Create List of Paths

Australian twin sample biometric data.

Inverse Half-vectorization

Multivariate Normal Integration

Boolean Equality Testing Function

Save End State to Checkpoint File

Create List of Thresholds

mxFitFunctionMultigroup

Aggregate fit statistics from multiple submodels

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

MxOptionalNumeric-class

An optional numeric

Example regression data with correlated predictors

Inverse Strict Half-vectorization

summary-MxModel

On-Demand Parallel Lapply

Show RAM Model in Graphviz Format

numeric Hessian data 2

Generate data based on an MxModel object

MxAlgebra-class

MxAlgebra Class

MxCharOrList-class

A character, list or NULL

MxConstraint-class

MxConstraint Class

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

MxFlatModel-class

Bivariate twin data example from Classic Mx Manual

Compute something once

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

mxExpectationNormal

Create MxExpectationNormal Object

Set or Clear an Optimizer Option

Send a Model to the Optimizer

MZ Male example data

On-Demand Parallel Apply

Restore From Checkpoint File

Equality Testing Function

omxCheckIdentical

Exact Equality Testing Function

On-Demand Parallel Sapply

Strict Half-vectorization

Twin data on weight and height

Half-vectorization

omxNormalQuantiles

omxNormalQuantiles

omxMatrixOperations

MxMatrix operations