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OpenMx (version 2.5.2)

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.

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Install

install.packages('OpenMx')

Monthly Downloads

26,831

Version

2.5.2

License

GPL (>= 3)

Issues

Pull Requests

Stars

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Repository

https://github.com/OpenMx/OpenMx

Homepage

http://openmx.psyc.virginia.edu

Maintainer

Joshua Pritikin

Last Published

February 29th, 2016

Functions in OpenMx (2.5.2)

MxBaseExpectation-class

MxBaseExpectation

MxDirectedGraph-class

MxDirectedGraph

MxOptionalChar-class

An optional character

MxRAMModel-class

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

imxExtractReferences

imxExtractReferences

imxPPML.Test.Test

imxPPML.Test.Test

imxPreprocessModel

imxPreprocessModel

imxSparseInvert

Sparse symmetric matrix invert

imxUpdateModelValues

imxUpdateModelValues

Create dynamic data

mxExpectationGREML

Create MxExpectationGREML Object

mxExpectationRAM

Create an MxExpectationRAM Object

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

myAutoregressiveData

Example data with autoregressively related columns

Example regression data with correlated predictors

omxConstrainMLThresholds

omxConstrainMLThresholds

Equality Testing Function

myGrowthMixtureData

Data for a growth mixture model

Show RAM Model in Graphviz Format

Multivariate Normal Integration

omxMatrixOperations

MxMatrix operations

Logical mxAlgebra() operators

Australian twin sample biometric data.

Strict Half-vectorization

Eigenvector/Eigenvalue Decomposition

Bivariate twin data example from Classic Mx Manual

imxCheckMatrices

imxCheckMatrices

imxCreateMatrix

Create a matrix

imxConstraintRelations

imxConstraintRelations

Deparse for MxObjects

imxIsDefinitionVariable

imxIsDefinitionVariable

imxModelBuilder

imxModelBuilder

mxAlgebraFromString

Create MxAlgebra object from a string

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

Fail-safe Factors

mxFitFunctionRow

Create an MxFitFunctionRow Object

Create MxModel Object

Send a Model to the Optimizer

mxSetDefaultOptions

Reset global options to the default

Returns Current Version String

omxNormalQuantiles

omxNormalQuantiles

omxNameAnonymousParameters

omxNameAnonymousParameters

ordinalTwinData

Data for ordinal twin model

MxAlgebra-class

MxAlgebra Class

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

MxDataStatic-class

Create static data

MxFlatModel-class

MxOptionalMatrix-class

An optional matrix

imxGenericModelBuilder

imxGenericModelBuilder

Bollen Data on Industrialization and Political Democracy

MxCharOrNumber-class

A character or integer

MxInterval-class

MxCharOrList-class

A character, list or NULL

HS.ability.data

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

MxExpectationGREML-class

Class "MxExpectationGREML"

MxOptionalCharOrNumber-class

A character, integer, or NULL

MxBaseFitFunction-class

MxBaseFitFunction

MxOptionalNumeric-class

An optional numeric

imxWlsChiSquare

Calculate Chi Square for a WLS Model

Valid types of data that can be contained by MxData

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

imxUntitledName

imxUntitledName

Bivariate twin data example from Classic Mx Manual

MxBaseNamed-class

Data for multiple regression

imxFlattenModel

Remove heirarchical structure from model

Estimate factor scores and standard errors

Create mxCI Object

mxComputeSequence

Invoke a series of compute objects in sequence

Example Factor Analysis Data

imxGentleResize

Resize an MxMatrix while preserving entries

mxComputeHessianQuality

Compute the quality of the Hessian

mxComputeReportDeriv

Report derivatives

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

DEPRECATED: Create MxRowObjective Object

imxConvertSubstitution

imxConvertSubstitution

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

imxGetSlotDisplayNames

imxGetSlotDisplayNames

Create List of Thresholds

All Interval Multivariate Normal Integration

Correct Error Message Function

imxGenerateNamespace

imxGenerateNamespace

imxLookupSymbolTable

imxLookupSymbolTable

imxSquareMatrix

imxSquareMatrix

imxWlsStandardErrors

Calculate Standard Errors for a WLS Model

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

On-Demand Parallel Apply

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

imxRowGradients

imxRowGradients

imxSeparatorChar

imxSeparatorChar

Create Diagonal Matrix From Vector

Matrix logarithm

latentMultipleRegExample2

Example data for multiple regression among latent variables

imxUntitledNumberReset

imxUntitledNumberReset

Twin data on weight and height

imxVerifyMatrix

imxVerifyMatrix

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

MZ female example twin data

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

Make Brownies in OpenMx

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

Create MxData Object

Compute something once

Internal OpenMx algebra operations

mxFitFunctionML

Create MxFitFunctionML Object

Inverse Strict Half-vectorization

mxLISRELObjective

Create MxLISRELObjective Object

omxSetParameters

Assign Model Parameters

mxGREMLDataHandler

Helper Function for Structuring GREML Data

myLongitudinalData

Data for a linear latent growth curve model

omxCheckNamespace

omxCheckNamespace

On-Demand Parallel Lapply

summary.MxModel

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

Inverse Half-vectorization

BaseCompute-class

MxOptionalLogical-class

An optional logical

MxCompute-class

MxExpectation-class

MxLISRELModel-class

imxAddDependency

Add a dependency

Extract Diagonal of a Matrix

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxIndependentModels

Are submodels independent?

A C implementation of dmvnorm

Test thread-safe output code

imxPPML.Test.Battery

imxPPML.Test.Battery

imxReservedNames

imxReservedNames

imxReplaceModels

Replace parts of a model

imxSimpleRAMPredicate

imxSimpleRAMPredicate

mxCheckIdentification

Check that a model is locally identified

mxExpectationNormal

Create MxExpectationNormal Object

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

Generate data based on an MxModel object

Estimate Kalman scores and error covariance matrices

DEPRECATED: Create MxRObjective Object

Estimate Modification Indices for MxModel Objects

Create List of Paths

nuclear_twin_design_data

Twin data from a nuclear family design

Example regression data with correlated predictors

omxLocateParameters

Summarize Model Parameters

imxCheckVariables

imxCheckVariables

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

Set difference on regular types or S4 objects

imxVariableTypes

imxVariableTypes

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

Create MxConstraint Object

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

mxExpectationLISREL

Create MxExpectationLISREL Object

DEPRECATED: Create MxMLObjective Object

Save End State to Checkpoint File

Example 500-row dataset with 12 generated variables

Make multiple attempts to run a model

Get the RMSEA with confidence intervals from model

MxAlgebraFormula-class

MxAlgebraFormula

MxFitFunction-class

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

Vectorize By Column

imxDependentModels

Are submodels dependence?

imxGenerateLabels

imxGenerateLabels

imxLocateFunction

imxLocateFunction

imxSymmetricMatrix

imxSymmetricMatrix

Create MxBounds Object

imxUntitledNumber

imxUntitledNumber

imxVerifyReference

imxVerifyReference

Create MxAlgebra Object

mxComputeReportExpectation

Report expectation

Create MxFitFunctionR Object

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

DEPRECATED: Create MxRAMObjective Object

mxFitFunctionGREML

Create MxFitFunctionGREML Object

Set or Clear an Optimizer Option

Rename MxModel or a Submodel

omxCheckCloseEnough

Approximate Equality Testing Function

Restore From Checkpoint File

MxConstraint-class

MxConstraint Class

MxListOrNull-class

An optional list

DZ opposite sex data

Demonstration data for a one factor model

Matrix exponential

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxHasDefinitionVariable

imxHasDefinitionVariable

imxReverseIdentifier

imxReverseIdentifier

mxAvailableOptimizers

mxAvailableOptimizers

Evaluate Values in MxModel

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

Create MxMatrix Object

Twin data on weight and height

numeric Hessian data 2

omxAssignFirstParameters

Assign First Available Values to Model Parameters

omxSaturatedModel

Create Reference (Saturated and Independence) Models

Vectorize By Row

mxFitFunctionWLS

Create MxFitFunctionWLS Object

Demonstration data for a two factor model

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

MxRAMMetaData-class

Meta Data for RAM

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

imxConvertIdentifier

imxConvertIdentifier

mxComputeIterate

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

mxComputeNothing

Compute nothing

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

MZ Male example data

numeric Hessian data 1

omxCheckSetEquals

Set Equality Testing Function

omxCheckWarning

Correct Warning Message Function

omxCheckIdentical

Exact Equality Testing Function

On-Demand Parallel Sapply

imxConvertLabel

imxConvertLabel

imxExtractMethod

imxExtractMethod

imxReplaceMethod

imxReplaceMethod

mxComputeDefault

Default compute plan

Joint Ordinal and continuous variables to be modeled together

Assign Model Parameters

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxRAMGraph-class

imxExtractNames

imxExtractNames

latentMultipleRegExample1

Example data for multiple regression among latent variables

Half-vectorization

Extract the component from a model's expectation

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

List Currently Available Model Types

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

omxGetParameters

Fetch Model Parameters

Boolean Equality Testing Function