Man pages for OpenMx
Extended Structural Equation Modelling

as.statusCodeConvert a numeric or character vector into an optimizer...
BaseCompute-classBaseCompute
Bollen_dataBollen Data on Industrialization and Political Democracy
cvectorizeVectorize By Column
demoOneFactor_dataDemonstration data for a one factor model
demoTwoFactor_dataDemonstration data for a two factor model
diag2vecExtract Diagonal of a Matrix
dzfDataDZ female data
dzmDataDZ Male data
dzoDataDZ opposite sex data
eigenvecEigenvector/Eigenvalue Decomposition
example1_dataBivariate twin data example from Classic Mx Manual
example2_dataBivariate twin data example from Classic Mx Manual
expmMatrix exponential
factorExample1_dataExample Factor Analysis Data
factorScaleExample1_dataExample Factor Analysis Data for Scaling the Model
factorScaleExample2_dataExample Factor Analysis Data for Scaling the Model
genericFitDependencies-MxBaseFitFunction-methodAdd dependencies
HS.ability.dataHolzinger and Swineford (1939) Ability data in 301 children...
imxAddDependencyAdd a dependency
imxAutoOptionValueimxAutoOptionValue
imxCheckMatricesimxCheckMatrices
imxCheckVariablesimxCheckVariables
imxConDecMatrixSlotsCondense/decondense slots of an MxMatrix
imxConstraintRelationsimxConstraintRelations
imxConvertIdentifierimxConvertIdentifier
imxConvertLabelimxConvertLabel
imxConvertSubstitutionimxConvertSubstitution
imxCreateMatrixCreate a matrix
imxDataTypesValid types of data that can be contained by MxData
imxDefaultGetSlotDisplayNamesimxDefaultGetSlotDisplayNames
imxDeparseDeparse for MxObjects
imxDependentModelsAre submodels dependence?
imxDetermineDefaultOptimizerimxDetermineDefaultOptimizer
imxDiffSet difference on regular types or S4 objects
imxDmvnormA C implementation of dmvnorm
imxEvalByNameimxEvalByName
imxExtractMethodimxExtractMethod
imxExtractNamesimxExtractNames
imxExtractReferencesimxExtractReferences
imxExtractSlotimxExtractSlot
imxFlattenModelRemove heirarchical structure from model
imxFreezeModelFreeze model
imxGenerateLabelsimxGenerateLabels
imxGenerateNamespaceimxGenerateNamespace
imxGenericModelBuilderimxGenericModelBuilder
imxGenSwiftimxGenSwift
imxGentleResizeResize an MxMatrix while preserving entries
imxGetNumThreadsimxGetNumThreads
imxGetSlotDisplayNamesimxGetSlotDisplayNames
imxHasConstraintimxHasConstraint
imxHasDefinitionVariableimxHasDefinitionVariable
imxHasNPSOLimxHasNPSOL
imxHasOpenMPimxHasOpenMP
imxIdentifierimxIdentifier
imxIndependentModelsAre submodels independent?
imxInitModelimxInitModel
imxIsDefinitionVariableimxIsDefinitionVariable
imxIsPathimxIsPath
imxJiggleimxJiggle
imxLocateFunctionimxLocateFunction
imxLocateIndeximxLocateIndex
imxLocateLabelimxLocateLabel
imxLogTest thread-safe output code
imxLookupSymbolTableimxLookupSymbolTable
imxModelBuilderimxModelBuilder
imxModelTypesimxModelTypes
imxMpiWrapimxMpiWrap
imxOriginalMximxOriginalMx
imxPPMLimxPPML
imxPPML.Test.BatteryimxPPML.Test.Battery
imxPPML.Test.TestimxPPML.Test.Test
imxPreprocessModelimxPreprocessModel
imxReplaceMethodimxReplaceMethod
imxReplaceModelsReplace parts of a model
imxReplaceSlotimxReplaceSlot
imxReportProgressReport backend progress
imxReservedNamesimxReservedNames
imxReverseIdentifierimxReverseIdentifier
imxRobustSEimxRobustSE
imxRowGradientsimxRowGradients
imxSameTypeimxSameType
imxSeparatorCharimxSeparatorChar
imxSfClientimxSfClient
imxSimpleRAMPredicateimxSimpleRAMPredicate
imxSparseInvertSparse symmetric matrix invert
imxSquareMatriximxSquareMatrix
imxSymmetricMatriximxSymmetricMatrix
imxTypeNameimxTypeName
imxUntitledNameimxUntitledName
imxUntitledNumberimxUntitledNumber
imxUntitledNumberResetimxUntitledNumberReset
imxUpdateModelValuesimxUpdateModelValues
imxVariableTypesimxVariableTypes
imxVerifyMatriximxVerifyMatrix
imxVerifyModelimxVerifyModel
imxVerifyNameimxVerifyName
imxVerifyReferenceimxVerifyReference
imxWlsChiSquareCalculate Chi Square for a WLS Model
imxWlsStandardErrorsCalculate Standard Errors for a WLS Model
jointdata_dataJoint Ordinal and continuous variables to be modeled together
latentMultipleRegExample1_dataExample data for multiple regression among latent variables
latentMultipleRegExample2_dataExample data for multiple regression among latent variables
logmMatrix logarithm
LongitudinalOverdispersedCountsLongitudinal, Overdispersed Count Data
multiData1_dataData for multiple regression
mxAlgebraCreate MxAlgebra Object
MxAlgebra-classMxAlgebra Class
MxAlgebraFormula-classMxAlgebraFormula
mxAlgebraFromStringCreate MxAlgebra object from a string
mxAlgebraObjectiveDEPRECATED: Create MxAlgebraObjective Object
mxAutoStartAutomatically set starting values for an MxModel
mxAvailableOptimizersmxAvailableOptimizers
MxBaseExpectation-classMxBaseExpectation
MxBaseFitFunction-classMxBaseFitFunction
MxBaseNamed-classMxBaseNamed
MxBaseObjectiveMetaData-classMxBaseObjectiveMetaData
mxBootstrapRepeatedly estimate model using resampling with replacement
mxBootstrapEvalEvaluate Values in a bootstrapped MxModel
mxBootstrapStdizeRAMpathsBootstrap distribution of standardized RAM path coefficients
mxBoundsCreate MxBounds Object
MxBounds-classMxBounds Class
MxCharOrList-classA character, list or NULL
MxCharOrLogical-classA character or logical
MxCharOrNumber-classA character or integer
mxCheckIdentificationCheck that a model is locally identified
mxCICreate mxCI Object
MxCI-classMxCI Class
mxCompareLikelihood ratio test
mxComputeBenchmarkRepeatedly invoke a series of compute objects
mxComputeBootstrapRepeatedly estimate model using resampling with replacement
MxCompute-classMxCompute
mxComputeConfidenceIntervalFind likelihood-based confidence intervals
mxComputeDefaultDefault compute plan
mxComputeEMFit a model using DLR's (1977) Expectation-Maximization (EM)...
mxComputeGenerateDataGenerate data
mxComputeGradientDescentOptimize parameters using a gradient descent optimizer
mxComputeHessianQualityCompute the quality of the Hessian
mxComputeIterateRepeatedly invoke a series of compute objects until change is...
mxComputeNelderMeadOptimize parameters using a variation of the Nelder-Mead...
mxComputeNewtonRaphsonOptimize parameters using the Newton-Raphson algorithm
mxComputeNothingCompute nothing
mxComputeNumericDerivNumerically estimate Hessian using Richardson extrapolation
mxComputeOnceCompute something once
mxComputeReportDerivReport derivatives
mxComputeReportExpectationReport expectation
mxComputeSequenceInvoke a series of compute objects in sequence
mxComputeStandardErrorCompute standard errors given the Hessian or inverse Hessian
mxComputeTryHardRepeatedly attempt a compute plan until successful
mxConstraintCreate MxConstraint Object
MxConstraint-classClass '"MxConstraint"'
mxDataCreate MxData Object
MxData-classMxData Class
mxDataDynamicCreate dynamic data
MxDataFrameOrMatrix-classMxDataFrameOrMatrix
MxDataStatic-classCreate static data
mxDataWLSCreate MxData Object for Least Squares (WLS, DWLS, ULS)...
MxDirectedGraph-classMxDirectedGraph
mxEvalEvaluate Values in MxModel
mxEvaluateOnGridEvaluate an algebra on an abscissa grid and collect column...
mxExpectationBA81Create a Bock & Aitkin (1981) expectation
mxExpectationGREMLCreate MxExpectationGREML Object
MxExpectationGREML-classClass "MxExpectationGREML"
mxExpectationHiddenMarkovHidden Markov expectation
mxExpectationLISRELCreate MxExpectationLISREL Object
mxExpectationMixtureMixture expectation
mxExpectationNormalCreate MxExpectationNormal Object
mxExpectationRAMCreate an MxExpectationRAM Object
mxExpectationStateSpaceCreate an MxExpectationStateSpace Object
mxExpectationStateSpaceContinuousTimeCreate an MxExpectationStateSpace Object
MxExpectationXclassMxExpectation
mxFactorFail-safe Factors
mxFactorScoresEstimate factor scores and standard errors
mxFIMLObjectiveDEPRECATED: Create MxFIMLObjective Object
mxFitFunctionAlgebraCreate MxFitFunctionAlgebra Object
MxFitFunction-classMxFitFunction
mxFitFunctionGREMLCreate MxFitFunctionGREML Object
MxFitFunctionGREML-classClass '"MxFitFunctionGREML"'
mxFitFunctionMLCreate MxFitFunctionML Object
mxFitFunctionMultigroupCreate MxFitFunctionMultigroup object
mxFitFunctionRCreate MxFitFunctionR Object
mxFitFunctionRowCreate an MxFitFunctionRow Object
mxFitFunctionWLSCreate MxFitFunctionWLS Object
MxFlatModel-classMxFlatModel
mxGenerateDataGenerate data based on an MxModel object
mxGetExpectedExtract the component from a model's expectation
mxGREMLDataHandlerHelper Function for Structuring GREML Data
MxInterval-classMxInterval
mxKalmanScoresEstimate Kalman scores and error covariance matrices
MxLISRELModel-classMxLISRELModel
mxLISRELObjectiveCreate MxLISRELObjective Object
MxListOrNull-classAn optional list
mxMakeNamesmxMakeNames
mxMatrixCreate MxMatrix Object
MxMatrix-classMxMatrix Class
mxMIEstimate Modification Indices for MxModel Objects
mxMLObjectiveDEPRECATED: Create MxMLObjective Object
mxModelCreate MxModel Object
MxModel-classMxModel Class
mxNormalQuantilesmxNormalQuantiles
mxOptionSet or Clear an Optimizer Option
MxOptionalChar-classAn optional character
MxOptionalCharOrNumber-classA character, integer, or NULL
MxOptionalLogical-classAn optional logical
MxOptionalMatrix-classAn optional matrix
MxOptionalNumeric-classAn optional numeric
mxParametricBootstrapAssess whether potential parameters should be freed using...
mxPathCreate List of Paths
MxRAMGraph-classMxRAMGraph
MxRAMMetaData-classMeta Data for RAM
MxRAMModel-classMxRAMModel
mxRAMObjectiveDEPRECATED: Create MxRAMObjective Object
mxRenameRename MxModel or a Submodel
mxRestoreRestore From Checkpoint File
mxRObjectiveDEPRECATED: Create MxRObjective Object
mxRowObjectiveDEPRECATED: Create MxRowObjective Object
mxRunSend a Model to the Optimizer
mxSaveSave End State to Checkpoint File
mxSECompute standard errors in OpenMx
mxSetDefaultOptionsReset global options to the default
mxSimplify2ArrayLike simplify2array but works with vectors of different...
mxStandardizeRAMpathsStandardize RAM models' path coefficients
mxThresholdCreate List of Thresholds
mxTryHardMake multiple attempts to run a model
mxTypesList Currently Available Model Types
mxVersionReturns Current Version String
MxVersionType-classA package_version or character
myAutoregressiveData_dataExample data with autoregressively related columns
myFADataRawExample 500-row dataset with 12 generated variables
myGrowthKnownClassData_dataData for a growth mixture model with the true class...
myGrowthMixtureData_dataData for a growth mixture model
myLongitudinalData_dataData for a linear latent growth curve model
myRegData_dataExample regression data with correlated predictors
myRegDataRaw_dataExample regression data with correlated predictors
myTwinData_dataTwin data on weight and height
mzfDataMZ female example twin data
mzmDataMZ Male example data
Named-entityNamed Entities
nuclear_twin_design_dataTwin data from a nuclear family design
numHess1numeric Hessian data 1
numHess2numeric Hessian data 2
omxAllIntAll Interval Multivariate Normal Integration
omxApplyOn-Demand Parallel Apply
omxAssignFirstParametersAssign First Available Values to Model Parameters
omxBrownieMake Brownies in OpenMx
omxCheckCloseEnoughApproximate Equality Testing Function
omxCheckEqualsEquality Testing Function
omxCheckErrorCorrect Error Message Function
omxCheckIdenticalExact Equality Testing Function
omxCheckNamespaceomxCheckNamespace
omxCheckSetEqualsSet Equality Testing Function
omxCheckTrueBoolean Equality Testing Function
omxCheckWarningCorrect Warning Message Function
omxCheckWithinPercentErrorApproximate Percent Equality Testing Function
omxConstrainMLThresholdsomxConstrainMLThresholds
omxDefaultComputePlanConstruct default compute plan
omxDetectCoresomxDetectCores
omxGetBootstrapReplicationsomxGetBootstrapReplications
omxGetNPSOLomxGetNPSOL
omxGetParametersFetch Model Parameters
omxGetRAMDepthomxGetRAMDepth
omxGraphvizShow RAM Model in Graphviz Format
omxHasDefaultComputePlanomxHasDefaultComputePlan
omxLapplyOn-Demand Parallel Lapply
omxLocateParametersSummarize Model Parameters
omxLogicalLogical mxAlgebra() operators
omxManifestModelByParameterJacobianEstimate the Jacobian of manifest model with respect to...
omxMatrixOperationsMxMatrix operations
omxMnorMultivariate Normal Integration
omxNameAnonymousParametersomxNameAnonymousParameters
omxParallelCIDedicated functions for calculating confidence intervals...
omxQuotesomxQuotes
omxRAMtoMLomxRAMtoML
omxRMSEAGet the RMSEA with confidence intervals from model
omxSapplyOn-Demand Parallel Sapply
omxSaturatedModelCreate Reference (Saturated and Independence) Models
omxSelectRowsAndColsFilter rows and columns from an mxMatrix
omxSetParametersAssign Model Parameters
omxSymbolTableInternal OpenMx algebra operations
OpenMxOpenMx: An package for Structural Equation Modeling and...
ordinalTwinDataData for ordinal twin model
rvectorizeVectorize By Row
summary.MxModelModel Summary
trtrace
twinDataAustralian twin sample biometric data.
twin_NA_dot_dataTwin data on weight and height
vec2diagCreate Diagonal Matrix From Vector
vechHalf-vectorization
vech2fullInverse Half-vectorization
vechsStrict Half-vectorization
vechs2fullInverse Strict Half-vectorization
OpenMx documentation built on Nov. 17, 2017, 6:50 a.m.