BaseCompute-class       BaseCompute
Bollen                  Bollen Data on Industrialization and Political
                        Democracy
DiscreteBase-class      An S4 base class for discrete marginal
                        distributions
HS.ability.data         Holzinger & Swineford (1939) Ability in 301
                        children from 2 schools
LongitudinalOverdispersedCounts
                        Longitudinal, Overdispersed Count Data
MxAlgebra-class         MxAlgebra Class
MxAlgebraFormula-class
                        MxAlgebraFormula
MxBaseExpectation-class
                        MxBaseExpectation
MxBaseFitFunction-class
                        MxBaseFitFunction
MxBaseNamed-class       MxBaseNamed
MxBaseObjectiveMetaData-class
                        MxBaseObjectiveMetaData
MxBounds-class          MxBounds Class
MxCI                    MxCI Class
MxCharOrList-class      A character, list or NULL
MxCharOrLogical-class   A character or logical
MxCharOrNumber-class    A character or integer
MxCompare-class         The MxCompare Class
MxCompute-class         MxCompute
MxConstraint-class      Class '"MxConstraint"'
MxData-class            MxData Class
MxDataStatic-class      Create static data
MxDirectedGraph-class   MxDirectedGraph
MxExpectation-class     MxExpectation
MxExpectationGREML-class
                        Class "MxExpectationGREML"
MxFitFunction-class     MxFitFunction
MxFitFunctionGREML-class
                        Class '"MxFitFunctionGREML"'
MxFlatModel-class       MxFlatModel
MxInterval-class        MxInterval
MxLISRELModel-class     MxLISRELModel
MxListOrNull-class      An optional list
MxMatrix-class          MxMatrix Class
MxModel-class           MxModel Class
MxOptionalChar-class    An optional character
MxOptionalCharOrNumber-class
                        A character, integer, or NULL
MxOptionalDataFrame-class
                        An optional data.frame
MxOptionalDataFrameOrMatrix-class
                        An optional data.frame or matrix
MxOptionalInteger-class
                        An optional integer
MxOptionalLogical-class
                        An optional logical
MxOptionalMatrix-class
                        An optional matrix
MxOptionalNumeric-class
                        An optional numeric
MxPenalty-class         MxPenalty
MxRAMGraph-class        MxRAMGraph
MxRAMModel-class        MxRAMModel
MxVersionType-class     A package_version or character
Named-entity            Named Entities
OpenMx                  OpenMx: An package for Structural Equation
                        Modeling and Matrix Algebra Optimization
Oscillator              Oscillator Data for Latent Differential
                        Equations
as.statusCode           Convert a numeric or character vector into an
                        optimizer status code factor
cvectorize              Vectorize By Column
demoOneFactor           Demonstration data for a one factor model
demoTwoFactor           Demonstration data for a two factor model
diag2vec                Extract Diagonal of a Matrix
dzfData                 Example twin extended kinship data: DZ female
                        data
dzmData                 Example twin extended kinship data: DZ Male
                        data
dzoData                 Example twin extended kinship data: DZ opposite
                        sex twins
eigenvec                Eigenvector/Eigenvalue Decomposition
example1                Bivariate twin data, wide-format from Classic
                        Mx Manual
example2                Bivariate twin data, long-format from Classic
                        Mx Manual
expm                    Matrix exponential
factorExample1          Example Factor Analysis Data
factorScaleExample1     Example Factor Analysis Data for Scaling the
                        Model
factorScaleExample2     Example Factor Analysis Data for Scaling the
                        Model
genericFitDependencies,MxBaseFitFunction-method
                        Add dependencies
imxAddDependency        Add a dependency
imxAutoOptionValue      imxAutoOptionValue
imxCheckMatrices        imxCheckMatrices
imxCheckVariables       imxCheckVariables
imxConDecMatrixSlots    Condense/de-condense slots of an MxMatrix
imxConstraintRelations
                        imxConstraintRelations
imxConvertIdentifier    imxConvertIdentifier
imxConvertLabel         imxConvertLabel
imxConvertSubstitution
                        imxConvertSubstitution
imxCreateMatrix         Create a matrix
imxDataTypes            Valid types of data that can be contained by
                        MxData
imxDefaultGetSlotDisplayNames
                        imxDefaultGetSlotDisplayNames
imxDeparse              Deparse for MxObjects
imxDependentModels      Are submodels dependence?
imxDetermineDefaultOptimizer
                        imxDetermineDefaultOptimizer
imxDmvnorm              A C implementation of dmvnorm
imxEvalByName           imxEvalByName
imxExtractMethod        imxExtractMethod
imxExtractNames         imxExtractNames
imxExtractReferences    imxExtractReferences
imxExtractSlot          imxExtractSlot
imxFlattenModel         Remove hierarchical structure from model
imxFreezeModel          Freeze model
imxGenSwift             imxGenSwift
imxGenerateLabels       imxGenerateLabels
imxGenerateNamespace    imxGenerateNamespace
imxGenericModelBuilder
                        imxGenericModelBuilder
imxGentleResize         Resize an MxMatrix while preserving entries
imxGetNumThreads        imxGetNumThreads
imxGetSlotDisplayNames
                        imxGetSlotDisplayNames
imxHasConstraint        imxHasConstraint
imxHasDefinitionVariable
                        imxHasDefinitionVariable
imxHasNPSOL             imxHasNPSOL
imxHasOpenMP            imxHasOpenMP
imxHasThresholds        imxHasThresholds
imxHasWLS               imxHasWLS
imxIdentifier           imxIdentifier
imxIndependentModels    Are submodels independent?
imxInitModel            imxInitModel
imxIsDefinitionVariable
                        imxIsDefinitionVariable
imxIsMultilevel         imxIsMultilevel
imxIsPath               imxIsPath
imxIsStateSpace         imxIsStateSpace
imxLocateFunction       imxLocateFunction
imxLocateIndex          imxLocateIndex
imxLocateLabel          imxLocateLabel
imxLog                  Test thread-safe output code
imxLookupSymbolTable    imxLookupSymbolTable
imxModelBuilder         imxModelBuilder
imxModelTypes           imxModelTypes
imxMpiWrap              imxMpiWrap
imxOriginalMx           Run an classic mx script
imxPPML                 imxPPML
imxPPML.Test.Battery    imxPPML.Test.Battery
imxPPML.Test.Test       imxPPML.Test.Test
imxPenaltyTypes         imxPenaltyTypes
imxPreprocessModel      imxPreprocessModel
imxReplaceMethod        imxReplaceMethod
imxReplaceModels        Replace parts of a model
imxReplaceSlot          imxReplaceSlot
imxReportProgress       Report backend progress
imxReservedNames        imxReservedNames
imxReverseIdentifier    imxReverseIdentifier
imxRobustSE             imxRobustSE
imxRowGradients         imxRowGradients
imxSameType             imxSameType
imxSeparatorChar        imxSeparatorChar
imxSfClient             imxSfClient
imxSimpleRAMPredicate   imxSimpleRAMPredicate
imxSparseInvert         Sparse symmetric matrix invert
imxSquareMatrix         imxSquareMatrix
imxSymmetricMatrix      imxSymmetricMatrix
imxTypeName             imxTypeName
imxUntitledName         imxUntitledName
imxUntitledNumber       imxUntitledNumber
imxUntitledNumberReset
                        imxUntitledNumberReset
imxUpdateModelValues    imxUpdateModelValues
imxVariableTypes        imxVariableTypes
imxVerifyMatrix         imxVerifyMatrix
imxVerifyModel          imxVerifyModel
imxVerifyName           imxVerifyName
imxVerifyReference      imxVerifyReference
imxWlsChiSquare         Calculate Chi Square for a WLS Model
imxWlsStandardErrors    Calculate Standard Errors for a WLS Model
jointdata               Joint Ordinal and continuous variables to be
                        modeled together
latentMultipleRegExample1
                        Example data for multiple regression among
                        latent variables
latentMultipleRegExample2
                        Example data for multiple regression among
                        latent variables
lazarsfeld              Respondent-soldiers on four dichotomous items
logm                    Matrix logarithm
multiData1              Data for multiple regression
mxAlgebra               Create MxAlgebra Object
mxAlgebraFromString     Create MxAlgebra object from a string
mxAlgebraObjective      DEPRECATED: Create MxAlgebraObjective Object
mxAutoStart             Automatically set starting values for an
                        MxModel
mxAvailableOptimizers   mxAvailableOptimizers
mxBootstrap             Repeatedly estimate model using resampling with
                        replacement
mxBootstrapEval         Evaluate Values in a bootstrapped MxModel
mxBootstrapStdizeRAMpaths
                        Bootstrap distribution of standardized RAM path
                        coefficients
mxBounds                Create MxBounds Object
mxCI                    Create mxCI Object
mxCheckIdentification   Check that a model is locally identified
mxCompare               Likelihood ratio test
mxComputeBootstrap      Repeatedly estimate model using resampling with
                        replacement
mxComputeCheckpoint     Log parameters and state to disk or memory
mxComputeConfidenceInterval
                        Find likelihood-based confidence intervals
mxComputeDefault        Default compute plan
mxComputeEM             Fit a model using DLR's (1977)
                        Expectation-Maximization (EM) algorithm
mxComputeGenerateData   Generate data
mxComputeGradientDescent
                        Optimize parameters using a gradient descent
                        optimizer
mxComputeHessianQuality
                        Compute the quality of the Hessian
mxComputeIterate        Repeatedly invoke a series of compute objects
                        until change is less than tolerance
mxComputeJacobian       Numerically estimate the Jacobian with respect
                        to free parameters
mxComputeLoadContext    Load contextual data to supplement checkpoint
mxComputeLoadData       Load columns into an MxData object
mxComputeLoadMatrix     Load data from CSV files directly into the
                        backend
mxComputeLoop           Repeatedly invoke a series of compute objects
mxComputeNelderMead     Optimize parameters using a variation of the
                        Nelder-Mead algorithm.
mxComputeNewtonRaphson
                        Optimize parameters using the Newton-Raphson
                        algorithm
mxComputeNothing        Compute nothing
mxComputeNumericDeriv   Numerically estimate Hessian using Richardson
                        extrapolation
mxComputeOnce           Compute something once
mxComputePenaltySearch
                        Regularize parameter estimates
mxComputeReportDeriv    Report derivatives
mxComputeReportExpectation
                        Report expectation
mxComputeSequence       Invoke a series of compute objects in sequence
mxComputeSetOriginalStarts
                        Reset parameter starting values
mxComputeSimAnnealing   Optimization using generalized simulated
                        annealing
mxComputeStandardError
                        Compute standard errors
mxComputeTryCatch       Execute a sub-compute plan, catching errors
mxComputeTryHard        Repeatedly attempt a compute plan until
                        successful
mxConstraint            Create MxConstraint Object
mxData                  Create MxData Object
mxDataDynamic           Create dynamic data
mxDataWLS               Create legacy MxData Object for Least Squares
                        (WLS, DWLS, ULS) Analyses
mxDescribeDataWLS       Determine whether a dataset will have weights
                        and summary statistics for the means if used
                        with mxFitFunctionWLS
mxEval                  Evaluate Values in MxModel
mxEvaluateOnGrid        Evaluate an algebra on an abscissa grid and
                        collect column results
mxExpectationBA81       Create a Bock & Aitkin (1981) expectation
mxExpectationGREML      Create MxExpectationGREML Object
mxExpectationHiddenMarkov
                        Hidden Markov expectation
mxExpectationLISREL     Create MxExpectationLISREL Object
mxExpectationMixture    Mixture expectation
mxExpectationNormal     Create MxExpectationNormal Object
mxExpectationRAM        Create an MxExpectationRAM Object
mxExpectationStateSpace
                        Create an MxExpectationStateSpace Object
mxExpectationStateSpaceContinuousTime
                        Create an MxExpectationStateSpace Object
mxFIMLObjective         DEPRECATED: Create MxFIMLObjective Object
mxFactor                Fail-safe Factors
mxFactorScores          Estimate factor scores and standard errors
mxFitFunctionAlgebra    Create MxFitFunctionAlgebra Object
mxFitFunctionGREML      Create MxFitFunctionGREML Object
mxFitFunctionML         Create MxFitFunctionML Object
mxFitFunctionMultigroup
                        Create a fit function used to fit
                        multiple-group models
mxFitFunctionR          Create MxFitFunctionR Object
mxFitFunctionRow        Create an MxFitFunctionRow Object
mxFitFunctionWLS        Create MxFitFunctionWLS Object
mxGREMLDataHandler      Helper Function for Structuring GREML Data
mxGenerateData          Generate data based on an mxModel (or a
                        data.frame)
mxGetExpected           Extract the component from a model's
                        expectation
mxJiggle                Jiggle parameter values.
mxKalmanScores          Estimate Kalman scores and error covariance
                        matrices
mxLISRELObjective       Create MxLISRELObjective Object
mxMI                    Estimate Modification Indices for MxModel
                        Objects
mxMLObjective           DEPRECATED: Create MxMLObjective Object
mxMakeNames             mxMakeNames
mxMarginalNegativeBinomial
                        Indicator with marginal Negative Binomial
                        distribution
mxMarginalPoisson       Indicator with marginal Poisson distribution
mxMatrix                Create MxMatrix Object
mxModel                 Create MxModel Object
mxModelAverage          Information-Theoretic Model-Averaging and
                        Multimodel Inference
mxNormalQuantiles       mxNormalQuantiles
mxOption                Set or Clear an Optimizer Option
mxParametricBootstrap   Assess whether potential parameters should be
                        freed using parametric bootstrap
mxPath                  Create List of Paths
mxPearsonSelCov         Perform Pearson Aitken selection
mxPenalty               This function creates a penalty object
mxPenaltyElasticNet     mxPenaltyElasticNet
mxPenaltyLASSO          mxPenaltyLASSO
mxPenaltyRidge          mxPenaltyRidge
mxPenaltySearch         mxPenaltySearch
mxPenaltyZap            mxPenaltyZap
mxPowerSearch           Power curve
mxRAMObjective          DEPRECATED: Create MxRAMObjective Object
mxRObjective            DEPRECATED: Create MxRObjective Object
mxRename                Rename a model or submodel
mxRestore               Restore model state from a checkpoint file
mxRetro                 Return random classic Mx error message
mxRowObjective          DEPRECATED: Create MxRowObjective Object
mxRun                   Run an OpenMx model
mxSE                    Compute standard errors in OpenMx
mxSave                  Save model state to a 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
mxThreshold             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              Duplicate of twinData
mzfData                 Example twin extended kinship data: MZ female
                        twins
mzmData                 Example twin extended kinship data: MZ Male
                        data
nhanesDemo              Modified National Health and Nutrition
                        Examination Survey demographic data
nuclear_twin_design_data
                        Twin data from a nuclear family design
numHess1                numeric Hessian data 1
numHess2                numeric Hessian data 2
omxAllInt               All Interval Multivariate Normal Integration
omxApply                On-Demand Parallel Apply
omxAssignFirstParameters
                        Assign First Available Values to Model
                        Parameters
omxAugmentDataWithWLSSummary
                        Estimate summary statistics used by the WLS fit
                        function
omxBrownie              Make Brownies in OpenMx
omxBuildAutoStartModel
                        Build the model used for mxAutoStart
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
omxDefaultComputePlan   Construct default compute plan
omxDetectCores          omxDetectCores
omxGetBootstrapReplications
                        omxGetBootstrapReplications
omxGetNPSOL             omxGetNPSOL
omxGetParameters        Fetch Model Parameters
omxGetRAMDepth          omxGetRAMDepth
omxGraphviz             Show RAM Model in Graphviz Format
omxHasDefaultComputePlan
                        omxHasDefaultComputePlan
omxLapply               On-Demand Parallel Lapply
omxLocateParameters     Get the location (model, matrix, row, column)
                        and other info for a parameter
omxLogical              Logical mxAlgebra() operators
omxManifestModelByParameterJacobian
                        Estimate the Jacobian of manifest model with
                        respect to parameters
omxMatrixOperations     MxMatrix operations
omxMnor                 Multivariate Normal Integration
omxModelDeleteData      Remove all instances of data from a model
omxNameAnonymousParameters
                        omxNameAnonymousParameters
omxParallelCI           Calculate confidence intervals without re-doing
                        the primary optimization.
omxQuotes               omxQuotes
omxRAMtoML              omxRAMtoML
omxRMSEA                Get the RMSEA with confidence intervals from
                        model
omxReadGRMBin           Read a GCTA-Format Binary GRM into R.
omxSapply               On-Demand Parallel Sapply
omxSaturatedModel       Create Reference (Saturated and Independence)
                        Models
omxSelectRowsAndCols    Filter rows and columns from an mxMatrix
omxSetParameters        Assign Model Parameters
omxSymbolTable          Internal OpenMx algebra operations
ordinalTwinData         Data for ordinal twin model
predict.MxModel         'predict' method for 'MxModel' objects
rvectorize              Vectorize By Row
summary.MxModel         Model Summary
tr                      trace
twinData                Australian twin sample biometric data.
twin_NA_dot             Twin biometric data (Practice cleaning: "." for
                        missing data, wrong data types etc.)
vec2diag                Create Diagonal Matrix From Vector
vech                    Half-vectorization
vech2full               Inverse Half-vectorization
vechs                   Strict Half-vectorization
vechs2full              Inverse Strict Half-vectorization
