Extended Structural Equation Modelling (SEM)

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Documentation for package ‘OpenMx’ version 2.1.0

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B C D E F G H I J L M N O P R S T U V Z misc

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

-- B --

BaseCompute-class BaseCompute
Bollen Bollen Data on Industrialization and Political Democracy

-- C --

cvectorize Vectorize By Column

-- D --

demoOneFactor Demonstration data for a one factor model
demoTwoFactor Demonstration data for a two factor model
diag2vec Extract Diagonal of a Matrix
DiagMatrix-class MxMatrix Class
dim-method MxMatrix Class
dimnames-method MxAlgebra Class
dimnames-method MxMatrix Class
dimnames<--method MxAlgebra Class
dimnames<--method MxMatrix Class
dzfData DZ female data
dzmData DZ Male data
dzoData DZ opposite sex data

-- E --

eigenval Eigenvector/Eigenvalue Decomposition
eigenvec Eigenvector/Eigenvalue Decomposition
example1 Bivariate twin data example from Classic Mx Manual
example2 Bivariate twin data example from Classic Mx Manual
expm Matrix exponential

-- F --

factorExample1 Example Factor Analysis Data
factorScaleExample1 Example Factor Analysis Data for Scaling the Model
factorScaleExample2 Example Factor Analysis Data for Scaling the Model
FullMatrix-class MxMatrix Class

-- G --

genericFitDependencies-method Add dependencies

-- H --

HS.ability.data Holzinger and Swineford (1939) Ability data in 301 children from two schools
HS.fake.data Holzinger and Swineford (1939) Ability data in 301 children from two schools

-- I --

IdenMatrix-class MxMatrix Class
ieigenval Eigenvector/Eigenvalue Decomposition
ieigenvec Eigenvector/Eigenvalue Decomposition
imxAddDependency Add a dependency
imxCheckMatrices imxCheckMatrices
imxCheckVariables imxCheckVariables
imxConDecMatrixSlots Condense/decondense slots of an MxMatrix
imxConDecMatrixSlots-method Condense/decondense slots of an MxMatrix
imxConstraintRelations imxConstraintRelations
imxConvertIdentifier imxConvertIdentifier
imxConvertLabel imxConvertLabel
imxConvertSubstitution imxConvertSubstitution
imxCreateMatrix Create a matrix
imxCreateMatrix-method Create a matrix
imxDataTypes Valid types of data that can be contained by MxData
imxDefaultGetSlotDisplayNames imxDefaultGetSlotDisplayNames
imxDeparse Deparse for MxObjects
imxDeparse-method Deparse for MxObjects
imxDependentModels Are submodels dependence?
imxDetermineDefaultOptimizer imxDetermineDefaultOptimizer
imxDiff Set difference on regular types or S4 objects
imxDmvnorm A C implementation of dmvnorm
imxEvalByName imxEvalByName
imxExtractMethod imxExtractMethod
imxExtractNames imxExtractNames
imxExtractReferences imxExtractReferences
imxExtractSlot imxExtractSlot
imxFilterDefinitionVariables imxFilterDefinitionVariables
imxFlattenModel Remove heirarchical structure from model
imxFreezeModel Freeze model
imxGenerateLabels imxGenerateLabels
imxGenerateNamespace imxGenerateNamespace
imxGenericModelBuilder imxGenericModelBuilder
imxGenSwift imxGenSwift
imxGetExpectationComponent Extract the component from a model's expectation
imxGetSlotDisplayNames imxGetSlotDisplayNames
imxHasNPSOL imxHasNPSOL
imxHasOpenMP imxHasOpenMP
imxIdentifier imxIdentifier
imxIndependentModels Are submodels independent?
imxInitModel imxInitModel
imxInitModel-method imxInitModel
imxIsDefinitionVariable imxIsDefinitionVariable
imxIsPath imxIsPath
imxLocateFunction imxLocateFunction
imxLocateIndex imxLocateIndex
imxLocateLabel imxLocateLabel
imxLog Test thread-safe output code
imxLookupSymbolTable imxLookupSymbolTable
imxModelBuilder imxModelBuilder
imxModelBuilder-method imxModelBuilder
imxModelTypes imxModelTypes
imxMpiWrap imxMpiWrap
imxOriginalMx imxOriginalMx
imxPPML imxPPML
imxPPML.Test.Battery imxPPML.Test.Battery
imxPPML.Test.Test imxPPML.Test.Test
imxPreprocessModel imxPreprocessModel
imxReplaceMethod imxReplaceMethod
imxReplaceModels Replace parts of a model
imxReplaceSlot imxReplaceSlot
imxReservedNames imxReservedNames
imxReverseIdentifier imxReverseIdentifier
imxSameType imxSameType
imxSeparatorChar imxSeparatorChar
imxSfClient imxSfClient
imxSimpleRAMPredicate imxSimpleRAMPredicate
imxSparseInvert Sparse symmetric matrix invert
imxSquareMatrix imxSquareMatrix
imxSquareMatrix-method imxSquareMatrix
imxSymmetricMatrix imxSymmetricMatrix
imxSymmetricMatrix-method imxSymmetricMatrix
imxTypeName imxTypeName
imxTypeName-method imxTypeName
imxUntitledName imxUntitledName
imxUntitledNumber imxUntitledNumber
imxUntitledNumberReset imxUntitledNumberReset
imxUpdateModelValues imxUpdateModelValues
imxVariableTypes imxVariableTypes
imxVerifyMatrix imxVerifyMatrix
imxVerifyMatrix-method imxVerifyMatrix
imxVerifyModel imxVerifyModel
imxVerifyModel-method imxVerifyModel
imxVerifyName imxVerifyName
imxVerifyReference imxVerifyReference
imxWlsChiSquare Calculate Chi Square for a WLS Model
imxWlsStandardErrors Calculate Standard Errors for a WLS Model

-- J --

jointdata Joint Ordinal and continuous variables to be modeled together

-- L --

latentMultipleRegExample1 Example data for multiple regression among latent variables
latentMultipleRegExample2 Example data for multiple regression among latent variables
length-method MxMatrix Class
logm Matrix logarithm
LowerMatrix-class MxMatrix Class

-- M --

multiData1 Data for multiple regression
MxAlgebra MxAlgebra Class
mxAlgebra Create MxAlgebra Object
MxAlgebra-class MxAlgebra Class
MxAlgebraFormula MxAlgebraFormula
MxAlgebraFormula-class MxAlgebraFormula
mxAlgebraObjective DEPRECATED: Create MxAlgebraObjective Object
MxBaseExpectation-class MxBaseExpectation
MxBaseFitFunction-class MxBaseFitFunction
MxBaseNamed MxBaseNamed
MxBaseNamed-class MxBaseNamed
MxBaseObjectiveMetaData MxBaseObjectiveMetaData
MxBaseObjectiveMetaData-class MxBaseObjectiveMetaData
MxBounds MxBounds Class
mxBounds Create MxBounds Object
MxBounds-class MxBounds Class
MxCharOrList-class A character, list or NULL
MxCharOrNumber-class A character or integer
mxCheckIdentification Check that a model is locally identified
MxCI MxCI Class
mxCI Create mxCI Object
mxCompare Assign Model Parameters
MxCompute MxCompute
MxCompute-class MxCompute
mxComputeConfidenceInterval Find likelihood-based confidence intervals
MxComputeConfidenceInterval-class Find likelihood-based confidence intervals
mxComputeEM Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithm
MxComputeEM-class Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithm
mxComputeGradientDescent Optimize parameters using a gradient descent optimizer
MxComputeGradientDescent-class Optimize parameters using a gradient descent optimizer
mxComputeHessianQuality Compute the quality of the Hessian
MxComputeHessianQuality-class Compute the quality of the Hessian
mxComputeIterate Repeatedly invoke a series of compute objects until change is less than tolerance
MxComputeIterate-class Repeatedly invoke a series of compute objects until change is less than tolerance
mxComputeNewtonRaphson Optimize parameters using the Newton-Raphson algorithm
MxComputeNewtonRaphson-class Optimize parameters using the Newton-Raphson algorithm
mxComputeNothing Compute nothing
mxComputeNumericDeriv Numerically estimate Hessian using Richardson extrapolation
MxComputeNumericDeriv-class Numerically estimate Hessian using Richardson extrapolation
mxComputeOnce Compute something once
MxComputeOnce-class Compute something once
mxComputeReportDeriv Report derivatives
MxComputeReportDeriv-class Report derivatives
mxComputeSequence Invoke a series of compute objects in sequence
MxComputeSequence-class Invoke a series of compute objects in sequence
mxComputeStandardError Compute standard errors given the Hessian or inverse Hessian
MxComputeStandardError-class Compute standard errors given the Hessian or inverse Hessian
MxConstraint MxConstraint Class
mxConstraint Create MxConstraint Object
MxConstraint-class MxConstraint Class
MxData MxData Class
mxData Create MxData Object
MxData-class MxData Class
mxDataDynamic Create dynamic data
MxDataDynamic-class Create dynamic data
MxDataFrameOrMatrix MxDataFrameOrMatrix
MxDataFrameOrMatrix-class MxDataFrameOrMatrix
MxDataStatic Create static data
MxDataStatic-class Create static data
mxDataWLS Create MxData Object for Weighted Least Squares
MxDirectedGraph MxDirectedGraph
MxDirectedGraph-class MxDirectedGraph
mxEval Evaluate Values in MxModel
mxEvalByName Evaluate Values in MxModel
MxExpectation MxExpectation
MxExpectation-class MxExpectation
mxExpectationBA81 Create a Bock & Aitkin (1981) expectation
MxExpectationBA81-class Create a Bock & Aitkin (1981) expectation
MxExpectationGREML Class "MxExpectationGREML"
mxExpectationGREML Create MxExpectationGREML Object
MxExpectationGREML-class Class "MxExpectationGREML"
mxExpectationLISREL Create MxExpectationLISREL Object
MxExpectationLISREL-class Create MxExpectationLISREL Object
mxExpectationNormal Create MxExpectationNormal Object
MxExpectationNormal-class Create MxExpectationNormal Object
mxExpectationRAM Create an MxExpectationRAM Object
MxExpectationRAM-class Create an MxExpectationRAM Object
mxExpectationStateSpace Create an MxExpectationStateSpace Object
MxExpectationStateSpace-class Create an MxExpectationStateSpace Object
mxFactor Fail-safe Factors
mxFIMLObjective DEPRECATED: Create MxFIMLObjective Object
MxFitFunction MxFitFunction
MxFitFunction-class MxFitFunction
mxFitFunctionAlgebra Create MxFitFunctionAlgebra Object
MxFitFunctionAlgebra-class Create MxFitFunctionAlgebra Object
MxFitFunctionGREML Class '"MxFitFunctionGREML"'
mxFitFunctionGREML Create MxFitFunctionGREML Object
MxFitFunctionGREML-class Class '"MxFitFunctionGREML"'
mxFitFunctionML Create MxFitFunctionML Object
MxFitFunctionML-class Create MxFitFunctionML Object
mxFitFunctionMultigroup Aggregate fit statistics from multiple submodels
MxFitFunctionMultigroup-class Aggregate fit statistics from multiple submodels
mxFitFunctionR Create MxFitFunctionR Object
MxFitFunctionR-class Create MxFitFunctionR Object
mxFitFunctionRow Create an MxFitFunctionRow Object
MxFitFunctionRow-class Create an MxFitFunctionRow Object
mxFitFunctionWLS Create MxFitFunctionWLS Object
MxFitFunctionWLS-class Create MxFitFunctionWLS Object
MxFlatModel-class MxFlatModel
mxGenerateData Generate data based on an MxModel object
mxGetExpected Extract the component from a model's expectation
mxGREMLDataHandler Helper Function for Structuring GREML Data
MxInterval-class MxInterval
mxKalmanScores Estimate Kalman scores and error covariance matrices
MxLISRELModel-class MxLISRELModel
mxLISRELObjective Create MxLISRELObjective Object
MxListOrNull-class An optional list
mxMakeNames mxMakeNames
MxMatrix MxMatrix Class
mxMatrix Create MxMatrix Object
MxMatrix-class MxMatrix Class
mxMI Estimate Modification Indices for MxModel Objects
mxMLObjective DEPRECATED: Create MxMLObjective Object
MxModel MxModel Class
mxModel Create MxModel Object
MxModel-class MxModel Class
MxNonNullData-class MxData Class
mxOption Set or Clear an Optimizer Option
MxOptionalChar-class An optional character
MxOptionalCharOrNumber-class A character, integer, or NULL
MxOptionalLogical-class An optional logical
MxOptionalMatrix-class An optional matrix
MxOptionalNumeric-class An optional numeric
mxPath Create List of Paths
MxPath-class Create List of Paths
MxRAMGraph MxRAMGraph
MxRAMGraph-class MxRAMGraph
MxRAMMetaData-class Meta Data for RAM
MxRAMModel-class MxRAMModel
mxRAMObjective DEPRECATED: Create MxRAMObjective Object
mxRefModels Create Reference (Saturated and Independence) Models
mxRename Rename MxModel or a Submodel
mxRestore Restore From Checkpoint File
mxRObjective DEPRECATED: Create MxRObjective Object
mxRowObjective DEPRECATED: Create MxRowObjective Object
mxRun Send a Model to the Optimizer
mxSave Save End State to Checkpoint File
mxSetDefaultOptions Reset global options to the default
mxSimplify2Array Like simplify2array but works with vectors of different lengths
mxStandardizeRAMpaths Standardize RAM models' path coefficients
mxSummary Model Summary
mxThreshold Create List of Thresholds
MxThreshold-class Create List of Thresholds
mxTryHard Make multiple attempts to run a model
mxTypes List Currently Available Model Types
mxVersion Returns Current Version String
myAutoregressiveData Example data with autoregressively related columns
myFADataRaw Example 500-row dataset with 12 generated variables
myGrowthKnownClassData Data for a growth mixture model with the true class membership
myGrowthMixtureData Data for a growth mixture model
myLongitudinalData Data for a linear latent growth curve model
myRegData Example regression data with correlated predictors
myRegDataRaw Example regression data with correlated predictors
myTwinData Twin data on weight and height
mzfData MZ female example twin data
mzmData MZ Male example data

-- N --

Named-entities Named Entities
named-entities Named Entities
Named-entity Named Entities
named-entity Named Entities
names-method MxFlatModel
names-method MxMatrix Class
names-method MxModel Class
ncol-method MxMatrix Class
nrow-method MxMatrix Class
nuclear_twin_design_data Twin data from a nuclear family design
numHess1 numeric Hessian data 1
numHess2 numeric Hessian data 2

-- O --

omxAllInt All Interval Multivariate Normal Integration
omxAnd Logical mxAlgebra() operators
omxApply On-Demand Parallel Apply
omxApproxEquals Logical mxAlgebra() operators
omxAssignFirstParameters Assign First Available Values to Model Parameters
omxBrownie Make Brownies in OpenMx
omxCbind MxMatrix operations
omxCheckCloseEnough Approximate Equality Testing Function
omxCheckEquals Equality Testing Function
omxCheckError Correct Error Message Function
omxCheckIdentical Exact Equality Testing Function
omxCheckNamespace omxCheckNamespace
omxCheckSetEquals Set Equality Testing Function
omxCheckTrue Boolean Equality Testing Function
omxCheckWarning Correct Warning Message Function
omxCheckWithinPercentError Approximate Percent Equality Testing Function
omxConstrainMLThresholds omxConstrainMLThresholds
omxDetectCores omxDetectCores
omxExponential Matrix exponential
omxGetParameters Fetch Model Parameters
omxGetRAMDepth omxGetRAMDepth
omxGraphviz Show RAM Model in Graphviz Format
omxGreaterThan Logical mxAlgebra() operators
omxLapply On-Demand Parallel Lapply
omxLessThan Logical mxAlgebra() operators
omxLocateParameters Summarize Model Parameters
omxLogical Logical mxAlgebra() operators
omxMatrixOperations MxMatrix operations
omxMnor Multivariate Normal Integration
omxNameAnonymousParameters omxNameAnonymousParameters
omxNormalQuantiles omxNormalQuantiles
omxNot Logical mxAlgebra() operators
omxOr Logical mxAlgebra() operators
omxParallelCI omxParallelCI
omxQuotes omxQuotes
omxRAMtoML omxRAMtoML
omxRbind MxMatrix operations
omxRMSEA Get the RMSEA with confidence intervals from model
omxSapply On-Demand Parallel Sapply
omxSaturatedModel Create Reference (Saturated and Independence) Models
omxSelectCols Filter rows and columns from an mxMatrix
omxSelectRows Filter rows and columns from an mxMatrix
omxSelectRowsAndCols Filter rows and columns from an mxMatrix
omxSetParameters Assign Model Parameters
omxSymbolTable Internal OpenMx algebra operations
omxTranspose MxMatrix operations
OpenMx OpenMx: An package for Structural Equation Modeling and Matrix Algebra Optimization
ordinalTwinData Data for ordinal twin model

-- P --

p2z Create MxAlgebra Object
print-method BaseCompute
print-method MxAlgebra Class
print-method MxAlgebraFormula
print-method MxData Class
print-method Create static data
print-method MxFlatModel
print-method MxInterval
print-method MxMatrix Class
print-method MxModel Class
print-method Create MxConstraint Object
print-method Create dynamic data
print-method Create a Bock & Aitkin (1981) expectation
print-method Create MxExpectationLISREL Object
print-method Create MxExpectationNormal Object
print-method Create an MxExpectationRAM Object
print-method Create an MxExpectationStateSpace Object
print-method Create MxFitFunctionAlgebra Object
print-method Create MxFitFunctionML Object
print-method Create MxFitFunctionR Object
print-method Create an MxFitFunctionRow Object
print-method Create MxFitFunctionWLS Object
print-method Create List of Paths
print-method Create List of Thresholds

-- R --

rvectorize Vectorize By Row

-- S --

SdiagMatrix-class MxMatrix Class
show-method BaseCompute
show-method MxAlgebra Class
show-method MxAlgebraFormula
show-method MxData Class
show-method Create static data
show-method MxFlatModel
show-method MxInterval
show-method MxMatrix Class
show-method MxModel Class
show-method Create MxConstraint Object
show-method Create dynamic data
show-method Create a Bock & Aitkin (1981) expectation
show-method Create MxExpectationLISREL Object
show-method Create MxExpectationNormal Object
show-method Create an MxExpectationRAM Object
show-method Create an MxExpectationStateSpace Object
show-method Create MxFitFunctionAlgebra Object
show-method Create MxFitFunctionML Object
show-method Create MxFitFunctionR Object
show-method Create an MxFitFunctionRow Object
show-method Create MxFitFunctionWLS Object
show-method Create List of Paths
show-method Create List of Thresholds
StandMatrix-class MxMatrix Class
summary Model Summary
summary-method Model Summary
SymmMatrix-class MxMatrix Class

-- T --

tr trace
twinData Australian twin sample biometric data.
twin_NA_dot Twin data on weight and height

-- U --

UnitMatrix-class MxMatrix Class

-- V --

vec2diag Create Diagonal Matrix From Vector
vech Half-vectorization
vech2full Inverse Half-vectorization
vechs Strict Half-vectorization
vechs2full Inverse Strict Half-vectorization

-- Z --

ZeroMatrix-class MxMatrix Class

-- misc --

$-method BaseCompute
$-method MxAlgebra Class
$-method MxBaseExpectation
$-method MxBaseFitFunction
$-method MxConstraint Class
$-method MxData Class
$-method MxFlatModel
$-method MxInterval
$-method MxMatrix Class
$-method MxModel Class
$-method Create List of Paths
$-method Create List of Thresholds
$<--method BaseCompute
$<--method MxAlgebra Class
$<--method MxBaseExpectation
$<--method MxBaseFitFunction
$<--method MxConstraint Class
$<--method MxData Class
$<--method MxFlatModel
$<--method MxInterval
$<--method MxLISRELModel
$<--method MxMatrix Class
$<--method MxModel Class
$<--method MxRAMModel
$<--method Create List of Paths
$<--method Create List of Thresholds
%&% Create MxAlgebra Object
%^% Create MxAlgebra Object
[-method MxMatrix Class
[<--method MxMatrix Class
[[-method MxFlatModel
[[-method MxModel Class
[[<--method MxFlatModel
[[<--method MxLISRELModel
[[<--method MxModel Class
[[<--method MxRAMModel