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OpenMx (version 2.3.1)

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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Version

Install

install.packages('OpenMx')

Monthly Downloads

24,178

Version

2.3.1

License

Apache License (== 2.0) | file LICENSE

Maintainer

Joshua Pritikin

Last Published

October 7th, 2015

Functions in OpenMx (2.3.1)

HS.ability.data

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

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

Bollen Data on Industrialization and Political Democracy

MxOptionalLogical-class

An optional logical

MxBaseFitFunction-class

MxBaseFitFunction

MxBaseNamed-class

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

MxConstraint-class

MxConstraint Class

MxDirectedGraph-class

MxDirectedGraph

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

Estimate Kalman scores and error covariance matrices

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

Eigenvector/Eigenvalue Decomposition

MxLISRELModel-class

Extract Diagonal of a Matrix

A C implementation of dmvnorm

imxPreprocessModel

imxPreprocessModel

DEPRECATED: Create MxRObjective Object

imxSquareMatrix

imxSquareMatrix

mxFitFunctionWLS

Create MxFitFunctionWLS Object

imxFlattenModel

Remove heirarchical structure from model

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

MxRAMGraph-class

Set or Clear an Optimizer Option

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

MxListOrNull-class

An optional list

Set difference on regular types or S4 objects

imxGenerateLabels

imxGenerateLabels

imxVerifyReference

imxVerifyReference

Create dynamic data

Logical mxAlgebra() operators

imxModelBuilder

imxModelBuilder

imxPPML.Test.Test

imxPPML.Test.Test

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

latentMultipleRegExample2

Example data for multiple regression among latent variables

imxUntitledName

imxUntitledName

imxWlsChiSquare

Calculate Chi Square for a WLS Model

Extract the component from a model's expectation

omxAssignFirstParameters

Assign First Available Values to Model Parameters

Example 500-row dataset with 12 generated variables

DEPRECATED: Create MxMLObjective Object

myGrowthMixtureData

Data for a growth mixture model

MxBaseExpectation-class

MxBaseExpectation

Correct Error Message Function

Bivariate twin data example from Classic Mx Manual

Create List of Paths

imxConstraintRelations

imxConstraintRelations

ordinalTwinData

Data for ordinal twin model

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

imxSimpleRAMPredicate

imxSimpleRAMPredicate

Assign Model Parameters

omxSetParameters

Assign Model Parameters

imxUntitledNumberReset

imxUntitledNumberReset

Restore From Checkpoint File

Make Brownies in OpenMx

Create mxCI Object

Create Diagonal Matrix From Vector

Half-vectorization

Boolean Equality Testing Function

DEPRECATED: Create MxRowObjective Object

omxConstrainMLThresholds

omxConstrainMLThresholds

omxMatrixOperations

MxMatrix operations

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

All Interval Multivariate Normal Integration

MxFlatModel-class

Bivariate twin data example from Classic Mx Manual

imxConvertSubstitution

imxConvertSubstitution

omxNormalQuantiles

omxNormalQuantiles

imxCheckMatrices

imxCheckMatrices

Deparse for MxObjects

imxReservedNames

imxReservedNames

imxWlsStandardErrors

Calculate Standard Errors for a WLS Model

imxSparseInvert

Sparse symmetric matrix invert

Get the RMSEA with confidence intervals from model

omxLocateParameters

Summarize Model Parameters

omxCheckWarning

Correct Warning Message Function

MxCharOrNumber-class

A character or integer

MxCharOrList-class

A character, list or NULL

MxRAMModel-class

MxInterval-class

Matrix exponential

imxGetSlotDisplayNames

imxGetSlotDisplayNames

imxReplaceMethod

imxReplaceMethod

Estimate factor scores and standard errors

Create MxMatrix Object

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

mxSetDefaultOptions

Reset global options to the default

omxCheckNamespace

omxCheckNamespace

On-Demand Parallel Sapply

imxReplaceModels

Replace parts of a model

imxVerifyMatrix

imxVerifyMatrix

MxOptionalChar-class

An optional character

latentMultipleRegExample1

Example data for multiple regression among latent variables

Matrix logarithm

mxComputeDefault

Default compute plan

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

Twin data on weight and height

MZ female example twin data

omxCheckIdentical

Exact Equality Testing Function

Strict Half-vectorization

imxConvertIdentifier

imxConvertIdentifier

imxIndependentModels

Are submodels independent?

MxOptionalMatrix-class

An optional matrix

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

mxComputeIterate

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

Example Factor Analysis Data

mxComputeReportDeriv

Report derivatives

Fail-safe Factors

MxAlgebra-class

MxAlgebra Class

imxReverseIdentifier

imxReverseIdentifier

Generate data based on an MxModel object

Create List of Thresholds

imxUpdateModelValues

imxUpdateModelValues

myLongitudinalData

Data for a linear latent growth curve model

Create MxData Object

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

imxDependentModels

Are submodels dependence?

imxConvertLabel

imxConvertLabel

myAutoregressiveData

Example data with autoregressively related columns

imxPPML.Test.Battery

imxPPML.Test.Battery

imxGenericModelBuilder

imxGenericModelBuilder

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

imxUntitledNumber

imxUntitledNumber

mxFitFunctionRow

Create an MxFitFunctionRow Object

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

Create MxModel Object

omxCheckCloseEnough

Approximate Equality Testing Function

Send a Model to the Optimizer

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

Australian twin sample biometric data.

omxGetParameters

Fetch Model Parameters

omxSaturatedModel

Create Reference (Saturated and Independence) Models

summary-MxModel

MxOptionalCharOrNumber-class

A character, integer, or NULL

Demonstration data for a one factor model

MxDataStatic-class

Create static data

Valid types of data that can be contained by MxData

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxCheckVariables

imxCheckVariables

imxExtractMethod

imxExtractMethod

Test thread-safe output code

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

mxComputeNothing

Compute nothing

Create MxConstraint Object

Create MxFitFunctionR Object

mxGREMLDataHandler

Helper Function for Structuring GREML Data

mxLISRELObjective

Create MxLISRELObjective Object

Rename MxModel or a Submodel

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

On-Demand Parallel Apply

omxCheckSetEquals

Set Equality Testing Function

Show RAM Model in Graphviz Format

MxFitFunction-class

MxExpectationGREML-class

Class "MxExpectationGREML"

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxCreateMatrix

Create a matrix

imxExtractReferences

imxExtractReferences

imxIsDefinitionVariable

imxIsDefinitionVariable

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxAvailableOptimizers

mxAvailableOptimizers

mxExpectationRAM

Create an MxExpectationRAM Object

mxExpectationGREML

Create MxExpectationGREML Object

mxAlgebraFromString

Create MxAlgebra object from a string

Save End State to Checkpoint File

List Currently Available Model Types

Twin data on weight and height

imxExtractNames

imxExtractNames

imxLocateFunction

imxLocateFunction

Create MxBounds Object

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

Estimate Modification Indices for MxModel Objects

Example regression data with correlated predictors

MZ Male example data

Equality Testing Function

Internal OpenMx algebra operations

MxCompute-class

MxOptionalNumeric-class

An optional numeric

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

imxAddDependency

Add a dependency

imxLookupSymbolTable

imxLookupSymbolTable

imxGenerateNamespace

imxGenerateNamespace

MxExpectation-class

imxVariableTypes

imxVariableTypes

Joint Ordinal and continuous variables to be modeled together

mxFitFunctionML

Create MxFitFunctionML Object

Evaluate Values in MxModel

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

nuclear_twin_design_data

Twin data from a nuclear family design

On-Demand Parallel Lapply

omxNameAnonymousParameters

omxNameAnonymousParameters

Inverse Strict Half-vectorization

Inverse Half-vectorization

DZ opposite sex data

imxSymmetricMatrix

imxSymmetricMatrix

Data for multiple regression

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

mxComputeHessianQuality

Compute the quality of the Hessian

numeric Hessian data 1

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

MxRAMMetaData-class

Meta Data for RAM

mxFitFunctionGREML

Create MxFitFunctionGREML Object

Returns Current Version String

Create MxAlgebra Object

mxCheckIdentification

Check that a model is locally identified

Multivariate Normal Integration

MxAlgebraFormula-class

MxAlgebraFormula

Compute something once

mxExpectationNormal

Create MxExpectationNormal Object

Make multiple attempts to run a model

mxExpectationLISREL

Create MxExpectationLISREL Object

DEPRECATED: Create MxRAMObjective Object

numeric Hessian data 2

Vectorize By Row

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

Example regression data with correlated predictors

BaseCompute-class

imxSeparatorChar

imxSeparatorChar

Vectorize By Column

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

Demonstration data for a two factor model