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OpenMx (version 2.2.6)

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

12,884

Version

2.2.6

License

Apache License (== 2.0) | file LICENSE

Maintainer

Joshua Pritikin

Last Published

July 17th, 2015

Functions in OpenMx (2.2.6)

MxAlgebraFormula-class

MxAlgebraFormula

MxCompute-class

MxDirectedGraph-class

MxDirectedGraph

MxOptionalCharOrNumber-class

A character, integer, or NULL

MxRAMGraph-class

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

imxConvertSubstitution

imxConvertSubstitution

A C implementation of dmvnorm

imxIndependentModels

Are submodels independent?

Test thread-safe output code

imxReservedNames

imxReservedNames

imxSymmetricMatrix

imxSymmetricMatrix

imxUntitledNumber

imxUntitledNumber

imxWlsChiSquare

Calculate Chi Square for a WLS Model

Create mxCI Object

mxComputeIterate

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

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

Set or Clear an Optimizer Option

Generate data based on an MxModel object

Make multiple attempts to run a model

omxCheckCloseEnough

Approximate Equality Testing Function

Inverse Half-vectorization

MxDataStatic-class

Create static data

MxOptionalLogical-class

An optional logical

latentMultipleRegExample1

Example data for multiple regression among latent variables

Data for multiple regression

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

mxExpectationLISREL

Create MxExpectationLISREL Object

mxExpectationGREML

Create MxExpectationGREML Object

Evaluate Values in MxModel

mxGREMLDataHandler

Helper Function for Structuring GREML Data

Create List of Thresholds

myLongitudinalData

Data for a linear latent growth curve model

numeric Hessian data 1

Make Brownies in OpenMx

Multivariate Normal Integration

omxLocateParameters

Summarize Model Parameters

omxMatrixOperations

MxMatrix operations

ordinalTwinData

Data for ordinal twin model

MxAlgebra-class

MxAlgebra Class

MxListOrNull-class

An optional list

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

Example Factor Analysis Data

imxAddDependency

Add a dependency

imxReplaceMethod

imxReplaceMethod

imxReverseIdentifier

imxReverseIdentifier

imxSeparatorChar

imxSeparatorChar

imxSimpleRAMPredicate

imxSimpleRAMPredicate

imxReplaceModels

Replace parts of a model

imxVariableTypes

imxVariableTypes

imxVerifyMatrix

imxVerifyMatrix

mxAvailableOptimizers

mxAvailableOptimizers

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

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

Compute something once

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

DEPRECATED: Create MxMLObjective Object

DEPRECATED: Create MxRowObjective Object

Save End State to Checkpoint File

Returns Current Version String

Twin data on weight and height

omxAssignFirstParameters

Assign First Available Values to Model Parameters

Estimate Kalman scores and error covariance matrices

Logical mxAlgebra() operators

Bollen Data on Industrialization and Political Democracy

BaseCompute-class

MxExpectation-class

MxFitFunction-class

MxOptionalChar-class

An optional character

MxBaseExpectation-class

MxBaseExpectation

Bivariate twin data example from Classic Mx Manual

MxLISRELModel-class

MxRAMMetaData-class

Meta Data for RAM

imxIsDefinitionVariable

imxIsDefinitionVariable

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

MxRAMModel-class

MxBaseNamed-class

imxExtractMethod

imxExtractMethod

MxInterval-class

MxExpectationGREML-class

Class "MxExpectationGREML"

HS.ability.data

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

imxConvertLabel

imxConvertLabel

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

MxCharOrNumber-class

A character or integer

MxCharOrList-class

A character, list or NULL

MxFlatModel-class

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxSparseInvert

Sparse symmetric matrix invert

Create MxBounds Object

imxFlattenModel

Remove heirarchical structure from model

Extract Diagonal of a Matrix

mxCheckIdentification

Check that a model is locally identified

Bivariate twin data example from Classic Mx Manual

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

imxSquareMatrix

imxSquareMatrix

imxModelBuilder

imxModelBuilder

Demonstration data for a two factor model

imxLookupSymbolTable

imxLookupSymbolTable

MxOptionalNumeric-class

An optional numeric

Matrix exponential

Eigenvector/Eigenvalue Decomposition

Set difference on regular types or S4 objects

Estimate Modification Indices for MxModel Objects

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

DZ opposite sex data

MxOptionalMatrix-class

An optional matrix

Joint Ordinal and continuous variables to be modeled together

Estimate factor scores and standard errors

Equality Testing Function

On-Demand Parallel Apply

imxUntitledNumberReset

imxUntitledNumberReset

mxComputeSequence

Invoke a series of compute objects in sequence

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

imxCheckVariables

imxCheckVariables

Fail-safe Factors

Create MxAlgebra Object

mxComputeNothing

Compute nothing

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

imxConvertIdentifier

imxConvertIdentifier

imxLocateFunction

imxLocateFunction

mxExpectationNormal

Create MxExpectationNormal Object

Deparse for MxObjects

Demonstration data for a one factor model

Create List of Paths

mxFitFunctionML

Create MxFitFunctionML Object

summary-MxModel

imxGenericModelBuilder

imxGenericModelBuilder

mxFitFunctionGREML

Create MxFitFunctionGREML Object

imxExtractNames

imxExtractNames

imxDependentModels

Are submodels dependence?

imxPPML.Test.Battery

imxPPML.Test.Battery

mxComputeHessianQuality

Compute the quality of the Hessian

Rename MxModel or a Submodel

Twin data on weight and height

Restore From Checkpoint File

Create MxMatrix Object

imxExtractReferences

imxExtractReferences

DEPRECATED: Create MxRObjective Object

mxSetDefaultOptions

Reset global options to the default

mxFitFunctionWLS

Create MxFitFunctionWLS Object

Send a Model to the Optimizer

imxGenerateLabels

imxGenerateLabels

imxPreprocessModel

imxPreprocessModel

Extract the component from a model's expectation

imxCreateMatrix

Create a matrix

imxWlsStandardErrors

Calculate Standard Errors for a WLS Model

Boolean Equality Testing Function

Matrix logarithm

imxGetSlotDisplayNames

imxGetSlotDisplayNames

Example regression data with correlated predictors

myGrowthMixtureData

Data for a growth mixture model

imxUntitledName

imxUntitledName

Create dynamic data

Half-vectorization

mxAlgebraFromString

Create MxAlgebra object from a string

Internal OpenMx algebra operations

All Interval Multivariate Normal Integration

mxComputeDefault

Default compute plan

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

List Currently Available Model Types

omxCheckIdentical

Exact Equality Testing Function

numeric Hessian data 2

imxVerifyReference

imxVerifyReference

Inverse Strict Half-vectorization

omxSetParameters

Assign Model Parameters

MxBaseFitFunction-class

MxBaseFitFunction

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

Show RAM Model in Graphviz Format

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

Assign Model Parameters

mxComputeReportDeriv

Report derivatives

Create MxData Object

omxConstrainMLThresholds

omxConstrainMLThresholds

DEPRECATED: Create MxRAMObjective Object

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

Create MxConstraint Object

Create MxFitFunctionR Object

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

Australian twin sample biometric data.

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

mxLISRELObjective

Create MxLISRELObjective Object

omxGetParameters

Fetch Model Parameters

mxFitFunctionRow

Create an MxFitFunctionRow Object

Create MxModel Object

omxCheckSetEquals

Set Equality Testing Function

Correct Error Message Function

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

On-Demand Parallel Sapply

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

omxCheckWarning

Correct Warning Message Function

Get the RMSEA with confidence intervals from model

omxNameAnonymousParameters

omxNameAnonymousParameters

myAutoregressiveData

Example data with autoregressively related columns

Vectorize By Row

MZ Male example data

omxSaturatedModel

Create Reference (Saturated and Independence) Models

omxNormalQuantiles

omxNormalQuantiles

Example 500-row dataset with 12 generated variables

nuclear_twin_design_data

Twin data from a nuclear family design

Strict Half-vectorization

Create Diagonal Matrix From Vector

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

Vectorize By Column

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

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

Valid types of data that can be contained by MxData

imxCheckMatrices

imxCheckMatrices

imxPPML.Test.Test

imxPPML.Test.Test

imxUpdateModelValues

imxUpdateModelValues

latentMultipleRegExample2

Example data for multiple regression among latent variables

imxConstraintRelations

imxConstraintRelations

MZ female example twin data

On-Demand Parallel Lapply

omxCheckNamespace

omxCheckNamespace

MxConstraint-class

MxConstraint Class

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

imxGenerateNamespace

imxGenerateNamespace

mxExpectationRAM

Create an MxExpectationRAM Object

Example regression data with correlated predictors