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OpenMx (version 2.5.1)

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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Install

install.packages('OpenMx')

Monthly Downloads

26,831

Version

2.5.1

License

GPL (>= 3)

Issues

Pull Requests

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Repository

https://github.com/OpenMx/OpenMx

Homepage

http://openmx.psyc.virginia.edu

Maintainer

Joshua Pritikin

Last Published

February 25th, 2016

Functions in OpenMx (2.5.1)

Deparse for MxObjects

Bollen Data on Industrialization and Political Democracy

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

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

LongitudinalOverdispersedCounts

Longitudinal, Overdispersed Count Data

imxModelBuilder

imxModelBuilder

MxOptionalNumeric-class

An optional numeric

imxCheckMatrices

imxCheckMatrices

MxBaseFitFunction-class

MxBaseFitFunction

MxDataFrameOrMatrix-class

MxDataFrameOrMatrix

MxBaseNamed-class

MxRAMMetaData-class

Meta Data for RAM

MxLISRELModel-class

Example Factor Analysis Data

MxOptionalCharOrNumber-class

A character, integer, or NULL

MxAlgebra-class

MxAlgebra Class

imxSymmetricMatrix

imxSymmetricMatrix

imxExtractMethod

imxExtractMethod

imxAddDependency

Add a dependency

BaseCompute-class

imxGenerateLabels

imxGenerateLabels

MxConstraint-class

MxConstraint Class

MxCompute-class

HS.ability.data

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

imxUntitledNumber

imxUntitledNumber

imxFlattenModel

Remove heirarchical structure from model

imxCreateMatrix

Create a matrix

MxDataStatic-class

Create static data

MxCharOrList-class

A character, list or NULL

MxListOrNull-class

An optional list

MxOptionalLogical-class

An optional logical

imxReverseIdentifier

imxReverseIdentifier

MxExpectationGREML-class

Class "MxExpectationGREML"

MxCharOrNumber-class

A character or integer

mxComputeNothing

Compute nothing

Create MxModel Object

genericFitDependencies,MxBaseFitFunction-method

Add dependencies

MxFitFunction-class

Test thread-safe output code

MxRAMGraph-class

imxCheckVariables

imxCheckVariables

imxReplaceMethod

imxReplaceMethod

Vectorize By Column

Demonstration data for a one factor model

Bivariate twin data example from Classic Mx Manual

MxFlatModel-class

Assign Model Parameters

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

MxOptionalMatrix-class

An optional matrix

imxConvertSubstitution

imxConvertSubstitution

Create dynamic data

imxConDecMatrixSlots

Condense/decondense slots of an MxMatrix

imxLocateFunction

imxLocateFunction

imxGenericModelBuilder

imxGenericModelBuilder

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

imxExtractNames

imxExtractNames

Matrix logarithm

MxOptionalChar-class

An optional character

imxHasDefinitionVariable

imxHasDefinitionVariable

Compute something once

imxPPML.Test.Battery

imxPPML.Test.Battery

imxConvertLabel

imxConvertLabel

factorScaleExample1

Example Factor Analysis Data for Scaling the Model

imxGentleResize

Resize an MxMatrix while preserving entries

Set difference on regular types or S4 objects

MxAlgebraFormula-class

MxAlgebraFormula

Create MxMatrix Object

MxInterval-class

Matrix exponential

imxConvertIdentifier

imxConvertIdentifier

MxDirectedGraph-class

MxDirectedGraph

omxSaturatedModel

Create Reference (Saturated and Independence) Models

List Currently Available Model Types

imxPreprocessModel

imxPreprocessModel

Make multiple attempts to run a model

Extract Diagonal of a Matrix

Inverse Strict Half-vectorization

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

Create MxBounds Object

MZ female example twin data

On-Demand Parallel Lapply

Bivariate twin data example from Classic Mx Manual

nuclear_twin_design_data

Twin data from a nuclear family design

omxNameAnonymousParameters

omxNameAnonymousParameters

On-Demand Parallel Sapply

mxAvailableOptimizers

mxAvailableOptimizers

Half-vectorization

factorScaleExample2

Example Factor Analysis Data for Scaling the Model

omxCheckIdentical

Exact Equality Testing Function

myLongitudinalData

Data for a linear latent growth curve model

omxCheckNamespace

omxCheckNamespace

omxLocateParameters

Summarize Model Parameters

mxExpectationLISREL

Create MxExpectationLISREL Object

Extract the component from a model's expectation

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

MxRAMModel-class

DZ opposite sex data

Eigenvector/Eigenvalue Decomposition

imxExtractReferences

imxExtractReferences

imxDependentModels

Are submodels dependence?

MxBaseExpectation-class

MxBaseExpectation

imxSquareMatrix

imxSquareMatrix

Create MxConstraint Object

Demonstration data for a two factor model

latentMultipleRegExample1

Example data for multiple regression among latent variables

imxGenerateNamespace

imxGenerateNamespace

Valid types of data that can be contained by MxData

imxRowGradients

imxRowGradients

mxFitFunctionMultigroup

Create MxFitFunctionMultigroup object

imxUpdateModelValues

imxUpdateModelValues

Create List of Paths

Save End State to Checkpoint File

omxAssignFirstParameters

Assign First Available Values to Model Parameters

imxLookupSymbolTable

imxLookupSymbolTable

mxLISRELObjective

Create MxLISRELObjective Object

Returns Current Version String

omxCheckWithinPercentError

Approximate Percent Equality Testing Function

Vectorize By Row

Make Brownies in OpenMx

Generate data based on an MxModel object

A C implementation of dmvnorm

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeDefault

Default compute plan

DEPRECATED: Create MxRAMObjective Object

Restore From Checkpoint File

Boolean Equality Testing Function

Get the RMSEA with confidence intervals from model

myGrowthKnownClassData

Data for a growth mixture model with the true class membership

MZ Male example data

summary.MxModel

Australian twin sample biometric data.

omxSelectRowsAndCols

Filter rows and columns from an mxMatrix

mxComputeHessianQuality

Compute the quality of the Hessian

Create MxData Object

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

MxExpectation-class

mxExpectationNormal

Create MxExpectationNormal Object

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

numeric Hessian data 1

imxConstraintRelations

imxConstraintRelations

Logical mxAlgebra() operators

omxMatrixOperations

MxMatrix operations

imxReservedNames

imxReservedNames

imxReplaceModels

Replace parts of a model

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

mxComputeReportDeriv

Report derivatives

Estimate Modification Indices for MxModel Objects

Estimate Kalman scores and error covariance matrices

Send a Model to the Optimizer

myAutoregressiveData

Example data with autoregressively related columns

On-Demand Parallel Apply

Create List of Thresholds

Inverse Half-vectorization

Strict Half-vectorization

imxVerifyReference

imxVerifyReference

latentMultipleRegExample2

Example data for multiple regression among latent variables

mxComputeStandardError

Compute standard errors given the Hessian or inverse Hessian

mxGREMLDataHandler

Helper Function for Structuring GREML Data

Equality Testing Function

omxCheckSetEquals

Set Equality Testing Function

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

imxDetermineDefaultOptimizer

imxDetermineDefaultOptimizer

imxUntitledNumberReset

imxUntitledNumberReset

imxVariableTypes

imxVariableTypes

DEPRECATED: Create MxMLObjective Object

Example regression data with correlated predictors

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

mxFitFunctionML

Create MxFitFunctionML Object

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

Twin data on weight and height

imxPPML.Test.Test

imxPPML.Test.Test

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

Fail-safe Factors

mxFitFunctionWLS

Create MxFitFunctionWLS Object

DEPRECATED: Create MxRObjective Object

DEPRECATED: Create MxRowObjective Object

myGrowthMixtureData

Data for a growth mixture model

omxGetParameters

Fetch Model Parameters

Correct Error Message Function

imxGetSlotDisplayNames

imxGetSlotDisplayNames

imxIsDefinitionVariable

imxIsDefinitionVariable

imxIndependentModels

Are submodels independent?

imxSparseInvert

Sparse symmetric matrix invert

Create mxCI Object

omxNormalQuantiles

omxNormalQuantiles

Evaluate Values in MxModel

mxExpectationStateSpace

Create an MxExpectationStateSpace Object

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

imxVerifyMatrix

imxVerifyMatrix

imxSimpleRAMPredicate

imxSimpleRAMPredicate

imxUntitledName

imxUntitledName

mxSetDefaultOptions

Reset global options to the default

imxWlsChiSquare

Calculate Chi Square for a WLS Model

Data for multiple regression

omxSetParameters

Assign Model Parameters

All Interval Multivariate Normal Integration

Example regression data with correlated predictors

omxManifestModelByParameterJacobian

Estimate the Jacobian of manifest model with respect to parameters

Multivariate Normal Integration

mxComputeIterate

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

imxSeparatorChar

imxSeparatorChar

omxCheckWarning

Correct Warning Message Function

Internal OpenMx algebra operations

mxComputeReportExpectation

Report expectation

ordinalTwinData

Data for ordinal twin model

Set or Clear an Optimizer Option

omxCheckCloseEnough

Approximate Equality Testing Function

Show RAM Model in Graphviz Format

Joint Ordinal and continuous variables to be modeled together

mxAlgebraFromString

Create MxAlgebra object from a string

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

mxExpectationGREML

Create MxExpectationGREML Object

mxFitFunctionGREML

Create MxFitFunctionGREML Object

Estimate factor scores and standard errors

Example 500-row dataset with 12 generated variables

numeric Hessian data 2

Rename MxModel or a Submodel

omxConstrainMLThresholds

omxConstrainMLThresholds

Twin data on weight and height

Create Diagonal Matrix From Vector

imxWlsStandardErrors

Calculate Standard Errors for a WLS Model

Create MxAlgebra Object

mxCheckIdentification

Check that a model is locally identified

mxFitFunctionRow

Create an MxFitFunctionRow Object

mxExpectationRAM

Create an MxExpectationRAM Object

mxExpectationStateSpaceContinuousTime

Create an MxExpectationStateSpace Object

Create MxFitFunctionR Object

mxSimplify2Array

Like simplify2array but works with vectors of different lengths