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OpenMx (version 2.2.4)

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.

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Install

install.packages('OpenMx')

Monthly Downloads

13,221

Version

2.2.4

License

Apache License (== 2.0) | file LICENSE

Maintainer

Joshua Pritikin

Last Published

May 28th, 2015

Functions in OpenMx (2.2.4)

MxAlgebra-class

MxAlgebra Class

MxBaseExpectation-class

MxBaseExpectation

HS.ability.data

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

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxExpectation-class

Bollen Data on Industrialization and Political Democracy

Demonstration data for a one factor model

MxFlatModel-class

Valid types of data that can be contained by MxData

Vectorize By Column

imxCreateMatrix

Create a matrix

MxDirectedGraph-class

MxDirectedGraph

imxExtractMethod

imxExtractMethod

MxOptionalChar-class

An optional character

imxSparseInvert

Sparse symmetric matrix invert

imxReservedNames

imxReservedNames

imxVerifyMatrix

imxVerifyMatrix

imxWlsChiSquare

Calculate Chi Square for a WLS Model

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

imxConvertSubstitution

imxConvertSubstitution

imxSymmetricMatrix

imxSymmetricMatrix

imxCheckMatrices

imxCheckMatrices

imxWlsStandardErrors

Calculate Standard Errors for a WLS Model

MxExpectationGREML-class

Class "MxExpectationGREML"

BaseCompute-class

latentMultipleRegExample2

Example data for multiple regression among latent variables

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

imxFlattenModel

Remove heirarchical structure from model

MxLISRELModel-class

Eigenvector/Eigenvalue Decomposition

MxOptionalNumeric-class

An optional numeric

Create MxConstraint Object

latentMultipleRegExample1

Example data for multiple regression among latent variables

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

MxFitFunction-class

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

MxCompute-class

mxCheckIdentification

Check that a model is locally identified

mxComputeDefault

Default compute plan

mxExpectationGREML

Create MxExpectationGREML Object

Create MxData Object

Joint Ordinal and continuous variables to be modeled together

Create MxMatrix Object

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

imxUntitledNumber

imxUntitledNumber

imxAddDependency

Add a dependency

myLongitudinalData

Data for a linear latent growth curve model

Example regression data with correlated predictors

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

A C implementation of dmvnorm

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxExtractReferences

imxExtractReferences

Bivariate twin data example from Classic Mx Manual

MxBaseFitFunction-class

MxBaseFitFunction

Twin data on weight and height

imxVerifyReference

imxVerifyReference

MxAlgebraFormula-class

MxAlgebraFormula

Bivariate twin data example from Classic Mx Manual

Example Factor Analysis Data

Make Brownies in OpenMx

mxLISRELObjective

Create MxLISRELObjective Object

DEPRECATED: Create MxRAMObjective Object

imxLocateFunction

imxLocateFunction

imxGenerateLabels

imxGenerateLabels

omxCheckNamespace

omxCheckNamespace

MxCharOrList-class

A character, list or NULL

Show RAM Model in Graphviz Format

Generate data based on an MxModel object

MxCharOrNumber-class

A character or integer

mxFitFunctionRow

Create an MxFitFunctionRow Object

Rename MxModel or a Submodel

DZ opposite sex data

Save End State to Checkpoint File

MxBaseNamed-class

imxReplaceMethod

imxReplaceMethod

imxReverseIdentifier

imxReverseIdentifier

Matrix exponential

imxFilterDefinitionVariables

imxFilterDefinitionVariables

MxInterval-class

imxUntitledName

imxUntitledName

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

omxNameAnonymousParameters

omxNameAnonymousParameters

MxConstraint-class

MxConstraint Class

Create MxAlgebra Object

omxNormalQuantiles

omxNormalQuantiles

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

MxRAMGraph-class

Inverse Strict Half-vectorization

List Currently Available Model Types

mxFitFunctionMultigroup

Aggregate fit statistics from multiple submodels

MxOptionalCharOrNumber-class

A character, integer, or NULL

omxSetParameters

Assign Model Parameters

On-Demand Parallel Apply

Inverse Half-vectorization

omxCheckCloseEnough

Approximate Equality Testing Function

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

MxRAMModel-class

imxModelBuilder

imxModelBuilder

mxExpectationNormal

Create MxExpectationNormal Object

imxLookupSymbolTable

imxLookupSymbolTable

omxMatrixOperations

MxMatrix operations

imxSeparatorChar

imxSeparatorChar

Make multiple attempts to run a model

myAutoregressiveData

Example data with autoregressively related columns

imxPPML.Test.Battery

imxPPML.Test.Battery

numeric Hessian data 1

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

Example regression data with correlated predictors

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

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

Example 500-row dataset with 12 generated variables

MxListOrNull-class

An optional list

MxOptionalMatrix-class

An optional matrix

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

imxConstraintRelations

imxConstraintRelations

imxSquareMatrix

imxSquareMatrix

Deparse for MxObjects

Internal OpenMx algebra operations

Vectorize By Row

mxFitFunctionML

Create MxFitFunctionML Object

Demonstration data for a two factor model

imxExtractNames

imxExtractNames

imxCheckVariables

imxCheckVariables

imxConvertIdentifier

imxConvertIdentifier

imxUpdateModelValues

imxUpdateModelValues

Create Diagonal Matrix From Vector

Compute something once

Equality Testing Function

imxDependentModels

Are submodels dependence?

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

myGrowthMixtureData

Data for a growth mixture model

mxExpectationLISREL

Create MxExpectationLISREL Object

Strict Half-vectorization

imxConvertLabel

imxConvertLabel

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

Extract Diagonal of a Matrix

Estimate Kalman scores and error covariance matrices

imxGenerateNamespace

imxGenerateNamespace

Half-vectorization

imxIndependentModels

Are submodels independent?

imxPPML.Test.Test

imxPPML.Test.Test

imxVariableTypes

imxVariableTypes

Set difference on regular types or S4 objects

DEPRECATED: Create MxMLObjective Object

omxLocateParameters

Summarize Model Parameters

Set or Clear an Optimizer Option

MZ Male example data

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

imxGenericModelBuilder

imxGenericModelBuilder

Send a Model to the Optimizer

omxAssignFirstParameters

Assign First Available Values to Model Parameters

mxSetDefaultOptions

Reset global options to the default

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

Create MxBounds Object

Matrix logarithm

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

imxReplaceModels

Replace parts of a model

mxExpectationRAM

Create an MxExpectationRAM Object

Fail-safe Factors

imxGetSlotDisplayNames

imxGetSlotDisplayNames

MZ female example twin data

Test thread-safe output code

Estimate Modification Indices for MxModel Objects

Returns Current Version String

numeric Hessian data 2

Multivariate Normal Integration

mxComputeReportDeriv

Report derivatives

Australian twin sample biometric data.

imxSimpleRAMPredicate

imxSimpleRAMPredicate

All Interval Multivariate Normal Integration

omxGetParameters

Fetch Model Parameters

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxFitFunctionGREML

Create MxFitFunctionGREML Object

mxComputeHessianQuality

Compute the quality of the Hessian

mxGREMLDataHandler

Helper Function for Structuring GREML Data

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

Correct Error Message Function

omxCheckSetEquals

Set Equality Testing Function

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

omxSaturatedModel

Create Reference (Saturated and Independence) Models

mxComputeIterate

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

DEPRECATED: Create MxRowObjective Object

omxConstrainMLThresholds

omxConstrainMLThresholds

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

MxOptionalLogical-class

An optional logical

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

Create dynamic data

Create MxFitFunctionR Object

Extract the component from a model's expectation

Create List of Thresholds

Logical mxAlgebra() operators

summary-MxModel

nuclear_twin_design_data

Twin data from a nuclear family design

ordinalTwinData

Data for ordinal twin model

Twin data on weight and height

Create MxModel Object

MxDataStatic-class

Create static data

MxRAMMetaData-class

Meta Data for RAM

imxPreprocessModel

imxPreprocessModel

imxIsDefinitionVariable

imxIsDefinitionVariable

imxUntitledNumberReset

imxUntitledNumberReset

Create mxCI Object

Data for multiple regression

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

Assign Model Parameters

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeNothing

Compute nothing

Evaluate Values in MxModel

mxFitFunctionWLS

Create MxFitFunctionWLS Object

Create List of Paths

DEPRECATED: Create MxRObjective Object

Restore From Checkpoint File

Boolean Equality Testing Function

On-Demand Parallel Sapply

Get the RMSEA with confidence intervals from model

omxCheckIdentical

Exact Equality Testing Function

On-Demand Parallel Lapply

omxCheckWarning

Correct Warning Message Function