Package: OpenMx 2.21.13

Robert M. Kirkpatrick

OpenMx: Extended Structural Equation Modelling

Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <http://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.

Authors:Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut, cre], Yang Wang [ctb], Ben Goodrich [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Sarah Medland [cph], Carl F. Falk [cph], Matt Keller [cph], Manjunath B G [cph], The Regents of the University of California [cph], Lester Ingber [cph], Wong Shao Voon [cph], Juan Palacios [cph], Jiang Yang [cph], Gael Guennebaud [cph], Jitse Niesen [cph]

OpenMx_2.21.13.tar.gz
OpenMx_2.21.13.tar.gz(r-4.5-noble)OpenMx_2.21.13.tar.gz(r-4.4-noble)
OpenMx.pdf |OpenMx.html
OpenMx/json (API)
NEWS

# Install 'OpenMx' in R:
install.packages('OpenMx', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/openmx/openmx/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

10.75 score 51 packages 1.9k scripts 26k downloads 247 mentions 299 exports 15 dependencies

Last updated 2 months agofrom:4da9c79b8f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linux-x86_64OKNov 20 2024

Exports:%&%%^%as.statusCodecvectorizediag2veceigenvaleigenvecexpmieigenvalieigenvecimxAddDependencyimxAutoOptionValueimxCheckMatricesimxCheckVariablesimxConDecMatrixSlotsimxConstraintRelationsimxConvertIdentifierimxConvertLabelimxConvertSubstitutionimxCreateMatriximxDataTypesimxDefaultGetSlotDisplayNamesimxDeparseimxDependentModelsimxDetermineDefaultOptimizerimxDmvnormimxEvalByNameimxExtractMethodimxExtractNamesimxExtractReferencesimxExtractSlotimxFlattenModelimxFreezeModelimxGenerateLabelsimxGenerateNamespaceimxGenericModelBuilderimxGenSwiftimxGentleResizeimxGetExpectationComponentimxGetNumThreadsimxGetSlotDisplayNamesimxHasConstraintimxHasDefinitionVariableimxHasNPSOLimxHasOpenMPimxHasThresholdsimxHasWLSimxIdentifierimxIndependentModelsimxInitModelimxIsDefinitionVariableimxIsMultilevelimxIsPathimxIsStateSpaceimxJiggleimxLocateFunctionimxLocateIndeximxLocateLabelimxLogimxLookupSymbolTableimxModelBuilderimxModelTypesimxMpiWrapimxOriginalMximxPenaltyTypesimxPPMLimxPPML.Test.BatteryimxPPML.Test.TestimxPreprocessModelimxReplaceMethodimxReplaceModelsimxReplaceSlotimxReportProgressimxReservedNamesimxReverseIdentifierimxRobustSEimxRowGradientsimxSameTypeimxSeparatorCharimxSfClientimxSimpleRAMPredicateimxSparseInvertimxSquareMatriximxSymmetricMatriximxTypeNameimxUntitledNameimxUntitledNumberimxUntitledNumberResetimxUpdateModelValuesimxVariableTypesimxVerifyMatriximxVerifyModelimxVerifyNameimxVerifyReferenceimxWlsChiSquareimxWlsStandardErrorslgamma1plogmlogp2zmpinvmxAlgebramxAlgebraFromStringmxAlgebraObjectivemxAutoStartmxAvailableOptimizersmxBootstrapmxBootstrapEvalmxBootstrapEvalByNamemxBootstrapStdizeRAMpathsmxBoundsmxCheckIdentificationmxCImxComparemxCompareMatrixmxComputeBenchmarkmxComputeBootstrapmxComputeCheckpointmxComputeConfidenceIntervalmxComputeDefaultmxComputeEMmxComputeGenerateDatamxComputeGradientDescentmxComputeHessianQualitymxComputeIteratemxComputeJacobianmxComputeLoadContextmxComputeLoadDatamxComputeLoadMatrixmxComputeLoopmxComputeNelderMeadmxComputeNewtonRaphsonmxComputeNothingmxComputeNumericDerivmxComputeOncemxComputePenaltySearchmxComputeReportDerivmxComputeReportExpectationmxComputeSequencemxComputeSetOriginalStartsmxComputeSimAnnealingmxComputeStandardErrormxComputeTryCatchmxComputeTryHardmxConstraintmxConstraintFromStringmxDatamxDataDynamicmxDataWLSmxDescribeDataWLSmxEvalmxEvalByNamemxEvaluateOnGridmxExpectationBA81mxExpectationGREMLmxExpectationHiddenMarkovmxExpectationLISRELmxExpectationMixturemxExpectationNormalmxExpectationRAMmxExpectationSSCTmxExpectationStateSpacemxExpectationStateSpaceContinuousTimemxFactormxFactorScoresmxFIMLObjectivemxFitFunctionAlgebramxFitFunctionGREMLmxFitFunctionMLmxFitFunctionMultigroupmxFitFunctionRmxFitFunctionRowmxFitFunctionWLSmxGenerateDatamxGetExpectedmxGREMLDataHandlermxJigglemxKalmanScoresmxLISRELObjectivemxMakeNamesmxMarginalNegativeBinomialmxMarginalPoissonmxMarginalProbitmxMatrixmxMImxMLObjectivemxModelmxModelAveragemxNormalQuantilesmxOptionmxParametricBootstrapmxPathmxPearsonSelCovmxPearsonSelMeanmxPenaltymxPenaltyElasticNetmxPenaltyLASSOmxPenaltyRidgemxPenaltySearchmxPenaltyZapmxPowermxPowerSearchmxRAMObjectivemxRefModelsmxRenamemxRestoremxRestoreFromDataFramemxRetromxRObjectivemxRobustLogmxRowObjectivemxRunmxSavemxSEmxSetDefaultOptionsmxSimplify2ArraymxStandardizeRAMpathsmxStandardizeRAMPathsmxThresholdmxTryHardmxTryHardctsemmxTryHardOrdinalmxTryHardOrigmxTryHardWideSearchmxTypesmxVersionncolnrowomxAkaikeWeightsomxAllIntomxAndomxApplyomxApproxEqualsomxAssignFirstParametersomxAugmentDataWithWLSSummaryomxBootstrapCovomxBootstrapEvalomxBootstrapEvalByNameomxBootstrapEvalCovomxBrownieomxBuildAutoStartModelomxCbindomxCheckCloseEnoughomxCheckEqualsomxCheckErroromxCheckIdenticalomxCheckNamespaceomxCheckSetEqualsomxCheckTrueomxCheckWarningomxCheckWithinPercentErroromxConstrainMLThresholdsomxDefaultComputePlanomxDetectCoresomxDnbinomomxExponentialomxGetBootstrapReplicationsomxGetNPSOLomxGetParametersomxGetRAMDepthomxGraphvizomxGreaterThanomxHasDefaultComputePlanomxLapplyomxLessThanomxLocateParametersomxManifestModelByParameterJacobianomxMnoromxModelDeleteDataomxNameAnonymousParametersomxNormalQuantilesomxNotomxOromxParallelCIomxPnbinomomxQuotesomxRAMtoMLomxRbindomxReadGRMBinomxRMSEAomxRunCIomxSapplyomxSaturatedModelomxSelectColsomxSelectRowsomxSelectRowsAndColsomxSetParametersomxSymbolTableomxTransposep2zprintrvectorizeshowtrvec2diagvechvech2fullvechsvechs<-vechs2full

Dependencies:BHclidigestgluelatticelifecycleMASSMatrixmvtnormRcppRcppEigenRcppParallelrlangrpfStanHeaders

Mendelian randomization using the twin design

Rendered frommr.Rmdusingknitr::knitron Nov 20 2024.

Last update: 2024-10-19
Started: 2024-10-19

Model Specification for Confirmatory Factor Analysis

Rendered fromfactor_analysis.Rmdusingknitr::knitron Nov 20 2024.

Last update: 2022-03-09
Started: 2022-01-15

Regularized SEM

Rendered fromregularization.Rmdusingknitr::knitron Nov 20 2024.

Last update: 2022-03-09
Started: 2022-01-15

Regularized MIMIC

Rendered fromreg_mimic.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2022-03-09
Started: 2022-01-15

Testing Derivatives

Rendered fromderiv.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2022-03-09
Started: 2022-01-15

Readme and manuals

Help Manual

Help pageTopics
Convert a numeric or character vector into an optimizer status code factoras.statusCode
BaseCompute$,BaseCompute-method $<-,BaseCompute-method BaseCompute-class print,BaseCompute-method show,BaseCompute-method
Bollen Data on Industrialization and Political DemocracyBollen
Vectorize By Columncvectorize
Demonstration data for a one factor modeldemoOneFactor
Demonstration data for a two factor modeldemoTwoFactor
Extract Diagonal of a Matrixdiag2vec
An S4 base class for discrete marginal distributions$,DiscreteBase-method $<-,DiscreteBase-method DiscreteBase DiscreteBase-class
Example twin extended kinship data: DZ female datadzfData
Example twin extended kinship data: DZ Male datadzmData
Example twin extended kinship data: DZ opposite sex twinsdzoData
Eigenvector/Eigenvalue Decompositioneigenval eigenvec ieigenval ieigenvec
Bivariate twin data, wide-format from Classic Mx Manualexample1
Bivariate twin data, long-format from Classic Mx Manualexample2
Matrix exponentialexpm omxExponential
Example Factor Analysis DatafactorExample1
Example Factor Analysis Data for Scaling the ModelfactorScaleExample1
Example Factor Analysis Data for Scaling the ModelfactorScaleExample2
Add dependenciesgenericFitDependencies,MxBaseFitFunction-method
Holzinger & Swineford (1939) Ability in 301 children from 2 schoolsHS.ability.data
Add a dependencyimxAddDependency
imxAutoOptionValueimxAutoOptionValue
imxCheckMatricesimxCheckMatrices
imxCheckVariablesimxCheckVariables
Condense/de-condense slots of an MxMatriximxConDecMatrixSlots imxConDecMatrixSlots,MxMatrix-method
imxConstraintRelationsimxConstraintRelations
imxConvertIdentifierimxConvertIdentifier
imxConvertLabelimxConvertLabel
imxConvertSubstitutionimxConvertSubstitution
Create a matriximxCreateMatrix imxCreateMatrix,DiagMatrix-method imxCreateMatrix,FullMatrix-method imxCreateMatrix,IdenMatrix-method imxCreateMatrix,LowerMatrix-method imxCreateMatrix,MxMatrix-method imxCreateMatrix,SdiagMatrix-method imxCreateMatrix,StandMatrix-method imxCreateMatrix,SymmMatrix-method imxCreateMatrix,UnitMatrix-method imxCreateMatrix,ZeroMatrix-method
Valid types of data that can be contained by MxDataimxDataTypes
imxDefaultGetSlotDisplayNamesimxDefaultGetSlotDisplayNames
Deparse for MxObjectsimxDeparse imxDeparse,IdenMatrix-method imxDeparse,matrix-method imxDeparse,MxAlgebra-method imxDeparse,MxConstraint-method imxDeparse,MxData-method imxDeparse,MxMatrix-method imxDeparse,UnitMatrix-method imxDeparse,ZeroMatrix-method
Are submodels dependence?imxDependentModels
imxDetermineDefaultOptimizerimxDetermineDefaultOptimizer
A C implementation of dmvnormimxDmvnorm
imxEvalByNameimxEvalByName
imxExtractMethodimxExtractMethod
imxExtractNamesimxExtractNames
imxExtractReferencesimxExtractReferences
imxExtractSlotimxExtractSlot
Remove hierarchical structure from modelimxFlattenModel
Freeze modelimxFreezeModel
imxGenerateLabelsimxGenerateLabels
imxGenerateNamespaceimxGenerateNamespace
imxGenericModelBuilderimxGenericModelBuilder
imxGenSwiftimxGenSwift
Resize an MxMatrix while preserving entriesimxGentleResize
imxGetNumThreadsimxGetNumThreads
imxGetSlotDisplayNamesimxGetSlotDisplayNames
imxHasConstraintimxHasConstraint
imxHasDefinitionVariableimxHasDefinitionVariable
imxHasNPSOLimxHasNPSOL
imxHasOpenMPimxHasOpenMP
imxHasThresholdsimxHasThresholds
imxHasWLSimxHasWLS
imxIdentifierimxIdentifier
Are submodels independent?imxIndependentModels
imxInitModelimxInitModel imxInitModel,MxLISRELModel-method imxInitModel,MxModel-method imxInitModel,MxRAMModel-method
imxIsDefinitionVariableimxIsDefinitionVariable
imxIsMultilevelimxIsMultilevel
imxIsPathimxIsPath
imxIsStateSpaceimxIsStateSpace
imxLocateFunctionimxLocateFunction
imxLocateIndeximxLocateIndex
imxLocateLabelimxLocateLabel
Test thread-safe output codeimxLog
imxLookupSymbolTableimxLookupSymbolTable
imxModelBuilderimxModelBuilder imxModelBuilder,MxLISRELModel-method imxModelBuilder,MxModel-method imxModelBuilder,MxRAMModel-method
imxModelTypesimxModelTypes
imxMpiWrapimxMpiWrap
Run an classic mx scriptimxOriginalMx
imxPenaltyTypesimxPenaltyTypes
imxPPMLimxPPML
imxPPML.Test.BatteryimxPPML.Test.Battery
imxPPML.Test.TestimxPPML.Test.Test
imxPreprocessModelimxPreprocessModel
imxReplaceMethodimxReplaceMethod
Replace parts of a modelimxReplaceModels
imxReplaceSlotimxReplaceSlot
Report backend progressimxReportProgress
imxReservedNamesimxReservedNames
imxReverseIdentifierimxReverseIdentifier
imxRobustSEimxRobustSE
imxRowGradientsimxRowGradients
imxSameTypeimxSameType
imxSeparatorCharimxSeparatorChar
imxSfClientimxSfClient
imxSimpleRAMPredicateimxSimpleRAMPredicate
Sparse symmetric matrix invertimxSparseInvert
imxSquareMatriximxSquareMatrix imxSquareMatrix,DiagMatrix-method imxSquareMatrix,IdenMatrix-method imxSquareMatrix,LowerMatrix-method imxSquareMatrix,MxMatrix-method imxSquareMatrix,SdiagMatrix-method imxSquareMatrix,StandMatrix-method imxSquareMatrix,SymmMatrix-method
imxSymmetricMatriximxSymmetricMatrix imxSymmetricMatrix,LowerMatrix-method imxSymmetricMatrix,MxMatrix-method imxSymmetricMatrix,SdiagMatrix-method imxSymmetricMatrix,StandMatrix-method imxSymmetricMatrix,SymmMatrix-method
imxTypeNameimxTypeName imxTypeName,MxLISRELModel-method imxTypeName,MxModel-method imxTypeName,MxRAMModel-method
imxUntitledNameimxUntitledName
imxUntitledNumberimxUntitledNumber
imxUntitledNumberResetimxUntitledNumberReset
imxUpdateModelValuesimxUpdateModelValues
imxVariableTypesimxVariableTypes
imxVerifyMatriximxVerifyMatrix imxVerifyMatrix,DiagMatrix-method imxVerifyMatrix,FullMatrix-method imxVerifyMatrix,IdenMatrix-method imxVerifyMatrix,LowerMatrix-method imxVerifyMatrix,MxMatrix-method imxVerifyMatrix,SdiagMatrix-method imxVerifyMatrix,StandMatrix-method imxVerifyMatrix,SymmMatrix-method imxVerifyMatrix,UnitMatrix-method imxVerifyMatrix,ZeroMatrix-method
imxVerifyModelimxVerifyModel imxVerifyModel,MxLISRELModel-method imxVerifyModel,MxModel-method imxVerifyModel,MxRAMModel-method
imxVerifyNameimxVerifyName
imxVerifyReferenceimxVerifyReference
Calculate Chi Square for a WLS ModelimxWlsChiSquare
Calculate Standard Errors for a WLS ModelimxWlsStandardErrors
Joint Ordinal and continuous variables to be modeled togetherjointdata
Example data for multiple regression among latent variableslatentMultipleRegExample1
Example data for multiple regression among latent variableslatentMultipleRegExample2
Respondent-soldiers on four dichotomous itemslazarsfeld
Matrix logarithmlogm
Longitudinal, Overdispersed Count DatalongData LongitudinalOverdispersedCounts wideData
Data for multiple regressionmultiData1
Create MxAlgebra Object%&% %^% lgamma1p logp2z mpinv mxAlgebra mxRobustLog omxDnbinom omxPnbinom p2z
MxAlgebra Class$,MxAlgebra-method $<-,MxAlgebra-method dimnames,MxAlgebra-method dimnames<-,MxAlgebra,ANY-method dimnames<-,MxAlgebra-method MxAlgebra MxAlgebra-class print,MxAlgebra-method show,MxAlgebra-method
MxAlgebraFormulaMxAlgebraFormula MxAlgebraFormula-class print,MxAlgebraFormula-method show,MxAlgebraFormula-method
Create MxAlgebra object from a stringmxAlgebraFromString
DEPRECATED: Create MxAlgebraObjective ObjectmxAlgebraObjective
Automatically set starting values for an MxModelmxAutoStart
mxAvailableOptimizersmxAvailableOptimizers
MxBaseExpectation$,MxBaseExpectation-method $<-,MxBaseExpectation-method MxBaseExpectation-class
MxBaseFitFunction$,MxBaseFitFunction-method $<-,MxBaseFitFunction-method MxBaseFitFunction-class
MxBaseNamedMxBaseNamed MxBaseNamed-class
MxBaseObjectiveMetaDataMxBaseObjectiveMetaData MxBaseObjectiveMetaData-class
Repeatedly estimate model using resampling with replacementmxBootstrap
Evaluate Values in a bootstrapped MxModelmxBootstrapEval mxBootstrapEvalByName omxBootstrapEval omxBootstrapEvalByName omxBootstrapEvalCov
Bootstrap distribution of standardized RAM path coefficientsmxBootstrapStdizeRAMpaths
Create MxBounds ObjectmxBounds
MxBounds ClassMxBounds MxBounds-class
A character, list or NULLMxCharOrList-class
A character or logicalMxCharOrLogical-class
A character or integerMxCharOrNumber-class
Check that a model is locally identifiedmxCheckIdentification
Create mxCI ObjectmxCI
MxCI ClassMxCI MxInterval
Likelihood ratio testmxCompare mxCompareMatrix
The MxCompare Class$,MxCompare-method as.data.frame.MxCompare MxCompare-class print,MxCompare-method show,MxCompare-method [,MxCompare,ANY,ANY,ANY-method
MxComputeMxCompute MxCompute-class
Repeatedly estimate model using resampling with replacementmxComputeBootstrap MxComputeBootstrap-class
Log parameters and state to disk or memorymxComputeCheckpoint MxComputeCheckpoint-class
Find likelihood-based confidence intervalsmxComputeConfidenceInterval MxComputeConfidenceInterval-class
Default compute planmxComputeDefault MxComputeDefault-class
Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithmmxComputeEM MxComputeEM-class
Generate datamxComputeGenerateData MxComputeGenerateData-class
Optimize parameters using a gradient descent optimizermxComputeGradientDescent MxComputeGradientDescent-class
Compute the quality of the HessianmxComputeHessianQuality MxComputeHessianQuality-class
Repeatedly invoke a series of compute objects until change is less than tolerancemxComputeIterate MxComputeIterate-class
Numerically estimate the Jacobian with respect to free parametersmxComputeJacobian MxComputeJacobian-class
Load contextual data to supplement checkpointmxComputeLoadContext MxComputeLoadContext-class
Load columns into an MxData objectmxComputeLoadData MxComputeLoadData-class
Load data from CSV files directly into the backendmxComputeLoadMatrix MxComputeLoadMatrix-class
Repeatedly invoke a series of compute objectsmxComputeBenchmark mxComputeLoop MxComputeLoop-class
Optimize parameters using a variation of the Nelder-Mead algorithm.MxComputeNelderMead mxComputeNelderMead MxComputeNelderMead-class
Optimize parameters using the Newton-Raphson algorithmmxComputeNewtonRaphson MxComputeNewtonRaphson-class
Compute nothingmxComputeNothing
Numerically estimate Hessian using Richardson extrapolationmxComputeNumericDeriv MxComputeNumericDeriv-class
Compute something oncemxComputeOnce MxComputeOnce-class
Regularize parameter estimatesmxComputePenaltySearch MxComputePenaltySearch-class
Report derivativesmxComputeReportDeriv MxComputeReportDeriv-class
Report expectationmxComputeReportExpectation MxComputeReportExpectation-class
Invoke a series of compute objects in sequencemxComputeSequence MxComputeSequence-class
Reset parameter starting valuesmxComputeSetOriginalStarts MxComputeSetOriginalStarts-class
Optimization using generalized simulated annealingmxComputeSimAnnealing MxComputeSimAnnealing-class
Compute standard errorsmxComputeStandardError MxComputeStandardError-class
Execute a sub-compute plan, catching errorsmxComputeTryCatch MxComputeTryCatch-class
Repeatedly attempt a compute plan until successfulmxComputeTryHard MxComputeTryHard-class
Create MxConstraint ObjectmxConstraint mxConstraintFromString
Class '"MxConstraint"'$,MxConstraint-method $<-,MxConstraint-method MxConstraint MxConstraint-class names,MxConstraint-method print,MxConstraint-method show,MxConstraint-method
Create MxData ObjectmxData
MxData Class$,MxData-method $<-,MxData-method MxData MxData-class MxNonNullData-class print,MxNonNullData-method show,MxNonNullData-method
Create dynamic datamxDataDynamic MxDataDynamic-class print,MxDataDynamic-method show,MxDataDynamic-method
Create static dataMxDataStatic MxDataStatic-class print,MxDataStatic-method show,MxDataStatic-method
Create legacy MxData Object for Least Squares (WLS, DWLS, ULS) AnalysesMxDataLegacyWLS-class mxDataWLS
Determine whether a dataset will have weights and summary statistics for the means if used with mxFitFunctionWLSmxDescribeDataWLS
MxDirectedGraphMxDirectedGraph MxDirectedGraph-class
Evaluate Values in MxModelmxEval mxEvalByName
Evaluate an algebra on an abscissa grid and collect column resultsmxEvaluateOnGrid
MxExpectationMxExpectation MxExpectation-class
Create a Bock & Aitkin (1981) expectationmxExpectationBA81 MxExpectationBA81-class print,MxExpectationBA81-method show,MxExpectationBA81-method
Create MxExpectationGREML ObjectmxExpectationGREML
Class "MxExpectationGREML"MxExpectationGREML MxExpectationGREML-class
Hidden Markov expectationmxExpectationHiddenMarkov MxExpectationHiddenMarkov-class print,MxExpectationHiddenMarkov-method show,MxExpectationHiddenMarkov-method
Create MxExpectationLISREL ObjectmxExpectationLISREL MxExpectationLISREL-class print,MxExpectationLISREL-method show,MxExpectationLISREL-method
Mixture expectationmxExpectationMixture MxExpectationMixture-class print,MxExpectationMixture-method show,MxExpectationMixture-method
Create MxExpectationNormal ObjectmxExpectationNormal MxExpectationNormal-class print,MxExpectationNormal-method show,MxExpectationNormal-method
Create an MxExpectationRAM ObjectmxExpectationRAM MxExpectationRAM-class print,MxExpectationRAM-method show,MxExpectationRAM-method
Create an MxExpectationStateSpace ObjectmxExpectationStateSpace MxExpectationStateSpace-class print,MxExpectationStateSpace-method show,MxExpectationStateSpace-method
Create an MxExpectationStateSpace ObjectmxExpectationSSCT mxExpectationStateSpaceContinuousTime
Fail-safe FactorsmxFactor
Estimate factor scores and standard errorsmxFactorScores
DEPRECATED: Create MxFIMLObjective ObjectmxFIMLObjective
MxFitFunctionMxFitFunction MxFitFunction-class
Create MxFitFunctionAlgebra ObjectmxFitFunctionAlgebra MxFitFunctionAlgebra-class print,MxFitFunctionAlgebra-method show,MxFitFunctionAlgebra-method
Create MxFitFunctionGREML ObjectmxFitFunctionGREML
Class '"MxFitFunctionGREML"'MxFitFunctionGREML MxFitFunctionGREML-class
Create MxFitFunctionML ObjectmxFitFunctionML MxFitFunctionML-class print,MxFitFunctionML-method show,MxFitFunctionML-method
Create a fit function used to fit multiple-group modelsmxFitFunctionMultigroup MxFitFunctionMultigroup-class
Create MxFitFunctionR ObjectmxFitFunctionR MxFitFunctionR-class print,MxFitFunctionR-method show,MxFitFunctionR-method
Create an MxFitFunctionRow ObjectmxFitFunctionRow MxFitFunctionRow-class print,MxFitFunctionRow-method show,MxFitFunctionRow-method
Create MxFitFunctionWLS ObjectmxFitFunctionWLS MxFitFunctionWLS-class print,MxFitFunctionWLS-method show,MxFitFunctionWLS-method
MxFlatModel$,MxFlatModel-method $<-,MxFlatModel-method MxFlatModel-class names,MxFlatModel-method print,MxFlatModel-method show,MxFlatModel-method [[,MxFlatModel-method [[<-,MxFlatModel-method
Generate data based on an mxModel (or a data.frame)mxGenerateData
Extract the component from a model's expectationimxGetExpectationComponent mxGetExpected
Helper Function for Structuring GREML DatamxGREMLDataHandler
MxInterval$,MxInterval-method $<-,MxInterval-method MxInterval-class print,MxInterval-method show,MxInterval-method
Jiggle parameter values.imxJiggle mxJiggle
Estimate Kalman scores and error covariance matricesmxKalmanScores
MxLISRELModel$<-,MxLISRELModel-method MxLISRELModel-class [[<-,MxLISRELModel-method
Create MxLISRELObjective ObjectmxLISRELObjective
An optional listMxListOrNull-class
mxMakeNamesmxMakeNames
Indicator with marginal Negative Binomial distribution$,MxMarginalNegativeBinomial-method $<-,MxMarginalNegativeBinomial-method mxMarginalNegativeBinomial MxMarginalNegativeBinomial-class print,MxMarginalNegativeBinomial-method show,MxMarginalNegativeBinomial-method
Indicator with marginal Poisson distribution$,MxMarginalPoisson-method $<-,MxMarginalPoisson-method mxMarginalPoisson MxMarginalPoisson-class print,MxMarginalPoisson-method show,MxMarginalPoisson-method
Create MxMatrix ObjectmxMatrix
MxMatrix Class$,MxMatrix-method $<-,MxMatrix-method DiagMatrix-class dim,MxMatrix-method dimnames,MxMatrix,ANY-method dimnames,MxMatrix-method dimnames<-,MxMatrix,ANY-method dimnames<-,MxMatrix-method FullMatrix-class IdenMatrix-class length,MxMatrix-method LowerMatrix-class MxMatrix MxMatrix-class names,MxMatrix-method ncol,MxMatrix-method nrow,MxMatrix-method print,MxMatrix-method SdiagMatrix-class show,MxMatrix-method StandMatrix-class SymmMatrix-class UnitMatrix-class ZeroMatrix-class [,MxMatrix,ANY,ANY,ANY-method [,MxMatrix-method [<-,MxMatrix,ANY,ANY,ANY-method [<-,MxMatrix-method [[,MxMatrix-method [[<-,MxMatrix-method
Estimate Modification Indices for MxModel ObjectsmxMI
DEPRECATED: Create MxMLObjective ObjectmxMLObjective
Create MxModel ObjectmxModel
MxModel Class$,MxModel-method $<-,MxModel-method MxModel MxModel-class names,MxModel-method print,MxModel-method show,MxModel-method [[,MxModel-method [[<-,MxModel-method
Information-Theoretic Model-Averaging and Multimodel InferencemxModelAverage omxAICWeights omxAkaikeWeights
mxNormalQuantilesmxNormalQuantiles omxNormalQuantiles
Set or Clear an Optimizer OptionmxOption
An optional characterMxOptionalChar-class
A character, integer, or NULLMxOptionalCharOrNumber-class
An optional data.frameMxOptionalDataFrame-class
An optional data.frame or matrixMxOptionalDataFrameOrMatrix-class
An optional integerMxOptionalInteger-class
An optional logicalMxOptionalLogical-class
An optional matrixMxOptionalMatrix-class
An optional numericMxOptionalNumeric-class
Assess whether potential parameters should be freed using parametric bootstrapmxParametricBootstrap
Create List of Paths$,MxPath-method $<-,MxPath-method mxPath MxPath-class print,MxPath-method show,MxPath-method
Perform Pearson Aitken selectionmxPearsonSelCov mxPearsonSelMean
This function creates a penalty objectmxPenalty
MxPenalty$,MxPenalty-method $<-,MxPenalty-method MxPenalty-class [[<-,MxPenalty-method
mxPenaltyElasticNetmxPenaltyElasticNet
mxPenaltyLASSOmxPenaltyLASSO
mxPenaltyRidgemxPenaltyRidge
mxPenaltySearchmxPenaltySearch
mxPenaltyZapmxPenaltyZap
Power curvemxPower mxPowerSearch
MxRAMGraphMxRAMGraph MxRAMGraph-class
MxRAMModel$<-,MxRAMModel-method MxRAMModel-class [[<-,MxRAMModel-method
DEPRECATED: Create MxRAMObjective ObjectmxRAMObjective
Rename a model or submodelmxRename
Restore model state from a checkpoint filemxRestore mxRestoreFromDataFrame
Return random classic Mx error messagemxRetro
DEPRECATED: Create MxRObjective ObjectmxRObjective
DEPRECATED: Create MxRowObjective ObjectmxRowObjective
Run an OpenMx modelmxRun
Save model state to a checkpoint filemxSave
Compute standard errors in OpenMxmxSE
Reset global options to the defaultmxSetDefaultOptions
Like simplify2array but works with vectors of different lengthsmxSimplify2Array
Standardize RAM models' path coefficientsmxStandardizeRAMPaths mxStandardizeRAMpaths
Create List of Thresholds$,MxThreshold-method $<-,MxThreshold-method mxMarginalProbit mxThreshold MxThreshold-class print,MxThreshold-method show,MxThreshold-method
Make multiple attempts to run a modelmxTryHard mxTryHardctsem mxTryHardOrdinal mxTryHardOrig mxTryHardWideSearch THard
List Currently Available Model TypesmxTypes
Returns Current Version StringmxVersion
A package_version or characterMxVersionType-class
Example data with autoregressively related columnsmyAutoregressiveData
Example 500-row dataset with 12 generated variablesmyFADataRaw
Data for a growth mixture model with the true class membershipmyGrowthKnownClassData
Data for a growth mixture modelmyGrowthMixtureData
Data for a linear latent growth curve modelmyLongitudinalData
Example regression data with correlated predictorsmyRegData
Example regression data with correlated predictorsmyRegDataRaw
Duplicate of twinDatamyTwinData
Example twin extended kinship data: MZ female twinsmzfData
Example twin extended kinship data: MZ Male datamzmData
Named EntitiesNamed-entities named-entities Named-entity named-entity
Modified National Health and Nutrition Examination Survey demographic datanhanesDemo
Twin data from a nuclear family designnuclear_twin_design_data
numeric Hessian data 1numHess1
numeric Hessian data 2numHess2
All Interval Multivariate Normal IntegrationomxAllInt
On-Demand Parallel ApplyomxApply
Assign First Available Values to Model ParametersomxAssignFirstParameters
Estimate summary statistics used by the WLS fit functionomxAugmentDataWithWLSSummary
Make Brownies in OpenMxomxBrownie
Build the model used for mxAutoStartomxBuildAutoStartModel
Approximate Equality Testing FunctionomxCheckCloseEnough
Equality Testing FunctionomxCheckEquals
Correct Error Message FunctionomxCheckError
Exact Equality Testing FunctionomxCheckIdentical
omxCheckNamespaceomxCheckNamespace
Set Equality Testing FunctionomxCheckSetEquals
Boolean Equality Testing FunctionomxCheckTrue
Correct Warning Message FunctionomxCheckWarning
Approximate Percent Equality Testing FunctionomxCheckWithinPercentError
omxConstrainMLThresholdsomxConstrainMLThresholds
Construct default compute planomxDefaultComputePlan
omxDetectCoresomxDetectCores
omxGetBootstrapReplicationsomxBootstrapCov omxGetBootstrapReplications
omxGetNPSOLomxGetNPSOL
Fetch Model ParametersomxGetParameters
omxGetRAMDepthomxGetRAMDepth
Show RAM Model in Graphviz FormatomxGraphviz
omxHasDefaultComputePlanomxHasDefaultComputePlan
On-Demand Parallel LapplyomxLapply
Get the location (model, matrix, row, column) and other info for a parameteromxLocateParameters
Logical mxAlgebra() operatorsomxAnd omxApproxEquals omxGreaterThan omxLessThan omxLogical omxNot omxOr
Estimate the Jacobian of manifest model with respect to parametersomxManifestModelByParameterJacobian
MxMatrix operationsomxCbind omxMatrixOperations omxRbind omxTranspose
Multivariate Normal IntegrationomxMnor
Remove all instances of data from a modelomxModelDeleteData
omxNameAnonymousParametersomxNameAnonymousParameters
Calculate confidence intervals without re-doing the primary optimization.omxParallelCI omxRunCI
omxQuotesomxQuotes
omxRAMtoMLomxRAMtoML
Read a GCTA-Format Binary GRM into R.omxReadGRMBin
Get the RMSEA with confidence intervals from modelomxRMSEA
On-Demand Parallel SapplyomxSapply
Create Reference (Saturated and Independence) ModelsmxRefModels omxSaturatedModel
Filter rows and columns from an mxMatrixomxSelectCols omxSelectRows omxSelectRowsAndCols
Assign Model ParametersomxSetParameters
Internal OpenMx algebra operationsomxSymbolTable
OpenMx: An package for Structural Equation Modeling and Matrix Algebra OptimizationOpenMx-package OpenMx
Data for ordinal twin modelordinalTwinData
Oscillator Data for Latent Differential EquationsOscillator
'predict' method for 'MxModel' objectspredict.MxModel
Vectorize By Rowrvectorize
Model SummarymxSummary summary.MxModel
tracetr
Twin biometric data (Practice cleaning: "." for missing data, wrong data types etc.)twin_NA_dot
Australian twin sample biometric data.twinData
Create Diagonal Matrix From Vectorvec2diag
Half-vectorizationvech
Inverse Half-vectorizationvech2full
Strict Half-vectorizationvechs vechs<-
Inverse Strict Half-vectorizationvechs2full