# Extended Structural Equation Modelling

## Documentation for package ‘OpenMx’ version 2.21.13

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

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

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

## -- A --

as.data.frame.MxCompare | The MxCompare Class
as.statusCode | Convert a numeric or character vector into an optimizer status code factor

## -- 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
DiscreteBase | An S4 base class for discrete marginal distributions
DiscreteBase-class | An S4 base class for discrete marginal distributions
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

## -- E --

eigenval | Eigenvector/Eigenvalue Decomposition
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

## -- 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 & Swineford (1939) Ability in 301 children from 2 schools

## -- I --

IdenMatrix-class | MxMatrix Class
ieigenval | Eigenvector/Eigenvalue Decomposition
ieigenvec | Eigenvector/Eigenvalue Decomposition
imxAddDependency | Add a dependency
imxAutoOptionValue | imxAutoOptionValue
imxCheckMatrices | imxCheckMatrices
imxCheckVariables | imxCheckVariables
imxConDecMatrixSlots | Condense/de-condense slots of an MxMatrix
imxConDecMatrixSlots-method | Condense/de-condense 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
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
imxGenerateLabels | imxGenerateLabels
imxGenerateNamespace | imxGenerateNamespace
imxGenericModelBuilder | imxGenericModelBuilder
imxGenSwift | imxGenSwift
imxGentleResize | Resize an MxMatrix while preserving entries
imxGetExpectationComponent | Extract the component from a model's expectation
imxGetNumThreads | imxGetNumThreads
imxGetSlotDisplayNames | imxGetSlotDisplayNames
imxHasConstraint | imxHasConstraint
imxHasDefinitionVariable | imxHasDefinitionVariable
imxHasNPSOL | imxHasNPSOL
imxHasOpenMP | imxHasOpenMP
imxHasThresholds | imxHasThresholds
imxHasWLS | imxHasWLS
imxIdentifier | imxIdentifier
imxIndependentModels | Are submodels independent?
imxInitModel | imxInitModel
imxInitModel-method | imxInitModel
imxIsDefinitionVariable | imxIsDefinitionVariable
imxIsMultilevel | imxIsMultilevel
imxIsPath | imxIsPath
imxIsStateSpace | imxIsStateSpace
imxJiggle | Jiggle parameter values.
imxLocateFunction | imxLocateFunction
imxLocateIndex | imxLocateIndex
imxLocateLabel | imxLocateLabel
imxLog | Test thread-safe output code
imxLookupSymbolTable | imxLookupSymbolTable
imxModelBuilder | imxModelBuilder
imxModelBuilder-method | imxModelBuilder
imxModelTypes | imxModelTypes
imxMpiWrap | imxMpiWrap
imxOriginalMx | Run an classic mx script
imxPenaltyTypes | imxPenaltyTypes
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
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
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
lazarsfeld | Respondent-soldiers on four dichotomous items
length-method | MxMatrix Class
lgamma1p | Create MxAlgebra Object
logm | Matrix logarithm
logp2z | Create MxAlgebra Object
longData | Longitudinal, Overdispersed Count Data
LongitudinalOverdispersedCounts | Longitudinal, Overdispersed Count Data
LowerMatrix-class | MxMatrix Class

## -- M --

mpinv | Create MxAlgebra Object
multiData1 | Data for multiple regression
MxAlgebra | MxAlgebra Class
mxAlgebra | Create MxAlgebra Object
MxAlgebra-class | MxAlgebra Class
MxAlgebraFormula | MxAlgebraFormula
MxAlgebraFormula-class | MxAlgebraFormula
mxAlgebraFromString | Create MxAlgebra object from a string
mxAlgebraObjective | DEPRECATED: Create MxAlgebraObjective Object
mxAutoStart | Automatically set starting values for an MxModel
mxAvailableOptimizers | mxAvailableOptimizers
MxBaseExpectation-class | MxBaseExpectation
MxBaseFitFunction-class | MxBaseFitFunction
MxBaseNamed | MxBaseNamed
MxBaseNamed-class | MxBaseNamed
MxBaseObjectiveMetaData | MxBaseObjectiveMetaData
MxBaseObjectiveMetaData-class | MxBaseObjectiveMetaData
mxBootstrap | Repeatedly estimate model using resampling with replacement
mxBootstrapEval | Evaluate Values in a bootstrapped MxModel
mxBootstrapEvalByName | Evaluate Values in a bootstrapped MxModel
mxBootstrapStdizeRAMpaths | Bootstrap distribution of standardized RAM path coefficients
MxBounds | MxBounds Class
mxBounds | Create MxBounds Object
MxBounds-class | MxBounds Class
MxCharOrList-class | A character, list or NULL
MxCharOrLogical-class | A character or logical
MxCharOrNumber-class | A character or integer
mxCheckIdentification | Check that a model is locally identified
MxCI | MxCI Class
mxCI | Create mxCI Object
mxCompare | Likelihood ratio test
MxCompare-class | The MxCompare Class
mxCompareMatrix | Likelihood ratio test
MxCompute | MxCompute
MxCompute-class | MxCompute
mxComputeBenchmark | Repeatedly invoke a series of compute objects
mxComputeBootstrap | Repeatedly estimate model using resampling with replacement
MxComputeBootstrap-class | Repeatedly estimate model using resampling with replacement
mxComputeCheckpoint | Log parameters and state to disk or memory
MxComputeCheckpoint-class | Log parameters and state to disk or memory
mxComputeConfidenceInterval | Find likelihood-based confidence intervals
MxComputeConfidenceInterval-class | Find likelihood-based confidence intervals
mxComputeDefault | Default compute plan
MxComputeDefault-class | Default compute plan
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
mxComputeGenerateData | Generate data
MxComputeGenerateData-class | Generate data
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
mxComputeJacobian | Numerically estimate the Jacobian with respect to free parameters
MxComputeJacobian-class | Numerically estimate the Jacobian with respect to free parameters
mxComputeLoadContext | Load contextual data to supplement checkpoint
MxComputeLoadContext-class | Load contextual data to supplement checkpoint
mxComputeLoadData | Load columns into an MxData object
MxComputeLoadData-class | Load columns into an MxData object
mxComputeLoadMatrix | Load data from CSV files directly into the backend
MxComputeLoadMatrix-class | Load data from CSV files directly into the backend
mxComputeLoop | Repeatedly invoke a series of compute objects
MxComputeLoop-class | Repeatedly invoke a series of compute objects
MxComputeNelderMead | Optimize parameters using a variation of the Nelder-Mead algorithm.
mxComputeNelderMead | Optimize parameters using a variation of the Nelder-Mead algorithm.
MxComputeNelderMead-class | Optimize parameters using a variation of the Nelder-Mead algorithm.
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
mxComputePenaltySearch | Regularize parameter estimates
MxComputePenaltySearch-class | Regularize parameter estimates
mxComputeReportDeriv | Report derivatives
MxComputeReportDeriv-class | Report derivatives
mxComputeReportExpectation | Report expectation
MxComputeReportExpectation-class | Report expectation
mxComputeSequence | Invoke a series of compute objects in sequence
MxComputeSequence-class | Invoke a series of compute objects in sequence
mxComputeSetOriginalStarts | Reset parameter starting values
MxComputeSetOriginalStarts-class | Reset parameter starting values
mxComputeSimAnnealing | Optimization using generalized simulated annealing
MxComputeSimAnnealing-class | Optimization using generalized simulated annealing
mxComputeStandardError | Compute standard errors
MxComputeStandardError-class | Compute standard errors
mxComputeTryCatch | Execute a sub-compute plan, catching errors
MxComputeTryCatch-class | Execute a sub-compute plan, catching errors
mxComputeTryHard | Repeatedly attempt a compute plan until successful
MxComputeTryHard-class | Repeatedly attempt a compute plan until successful
MxConstraint | Class '"MxConstraint"'
mxConstraint | Create MxConstraint Object
MxConstraint-class | Class '"MxConstraint"'
mxConstraintFromString | Create MxConstraint Object
MxData | MxData Class
mxData | Create MxData Object
MxData-class | MxData Class
mxDataDynamic | Create dynamic data
MxDataDynamic-class | Create dynamic data
MxDataLegacyWLS-class | Create legacy MxData Object for Least Squares (WLS, DWLS, ULS) Analyses
MxDataStatic | Create static data
MxDataStatic-class | Create static 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
MxDirectedGraph | MxDirectedGraph
MxDirectedGraph-class | MxDirectedGraph
mxEval | Evaluate Values in MxModel
mxEvalByName | Evaluate Values in MxModel
mxEvaluateOnGrid | Evaluate an algebra on an abscissa grid and collect column results
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"
mxExpectationHiddenMarkov | Hidden Markov expectation
MxExpectationHiddenMarkov-class | Hidden Markov expectation
mxExpectationLISREL | Create MxExpectationLISREL Object
MxExpectationLISREL-class | Create MxExpectationLISREL Object
mxExpectationMixture | Mixture expectation
MxExpectationMixture-class | Mixture expectation
mxExpectationNormal | Create MxExpectationNormal Object
MxExpectationNormal-class | Create MxExpectationNormal Object
mxExpectationRAM | Create an MxExpectationRAM Object
MxExpectationRAM-class | Create an MxExpectationRAM Object
mxExpectationSSCT | Create an MxExpectationStateSpace Object
mxExpectationStateSpace | Create an MxExpectationStateSpace Object
MxExpectationStateSpace-class | Create an MxExpectationStateSpace Object
mxExpectationStateSpaceContinuousTime | Create an MxExpectationStateSpace Object
mxFactor | Fail-safe Factors
mxFactorScores | Estimate factor scores and standard errors
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 | Create a fit function used to fit multiple-group models
MxFitFunctionMultigroup-class | Create a fit function used to fit multiple-group models
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 (or a data.frame)
mxGetExpected | Extract the component from a model's expectation
mxGREMLDataHandler | Helper Function for Structuring GREML Data
MxInterval | MxCI Class
MxInterval-class | MxInterval
mxJiggle | Jiggle parameter values.
mxKalmanScores | Estimate Kalman scores and error covariance matrices
MxLISRELModel-class | MxLISRELModel
mxLISRELObjective | Create MxLISRELObjective Object
MxListOrNull-class | An optional list
mxMakeNames | mxMakeNames
mxMarginalNegativeBinomial | Indicator with marginal Negative Binomial distribution
MxMarginalNegativeBinomial-class | Indicator with marginal Negative Binomial distribution
mxMarginalPoisson | Indicator with marginal Poisson distribution
MxMarginalPoisson-class | Indicator with marginal Poisson distribution
mxMarginalProbit | Create List of Thresholds
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
mxModelAverage | Information-Theoretic Model-Averaging and Multimodel Inference
MxNonNullData-class | MxData Class
mxNormalQuantiles | mxNormalQuantiles
mxOption | Set or Clear an Optimizer Option
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
mxParametricBootstrap | Assess whether potential parameters should be freed using parametric bootstrap
mxPath | Create List of Paths
MxPath-class | Create List of Paths
mxPearsonSelCov | Perform Pearson Aitken selection
mxPearsonSelMean | Perform Pearson Aitken selection
mxPenalty | This function creates a penalty object
MxPenalty-class | MxPenalty
mxPenaltyElasticNet | mxPenaltyElasticNet
mxPenaltyLASSO | mxPenaltyLASSO
mxPenaltyRidge | mxPenaltyRidge
mxPenaltySearch | mxPenaltySearch
mxPenaltyZap | mxPenaltyZap
mxPower | Power curve
mxPowerSearch | Power curve
MxRAMGraph | MxRAMGraph
MxRAMGraph-class | MxRAMGraph
MxRAMModel-class | MxRAMModel
mxRAMObjective | DEPRECATED: Create MxRAMObjective Object
mxRefModels | Create Reference (Saturated and Independence) Models
mxRename | Rename a model or submodel
mxRestore | Restore model state from a checkpoint file
mxRestoreFromDataFrame | Restore model state from a checkpoint file
mxRetro | Return random classic Mx error message
mxRObjective | DEPRECATED: Create MxRObjective Object
mxRobustLog | Create MxAlgebra Object
mxRowObjective | DEPRECATED: Create MxRowObjective Object
mxRun | Run an OpenMx model
mxSave | Save model state to a checkpoint file
mxSE | Compute standard errors in OpenMx
mxSetDefaultOptions | Reset global options to the default
mxSimplify2Array | Like simplify2array but works with vectors of different lengths
mxStandardizeRAMPaths | Standardize RAM models' path coefficients
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
mxTryHardctsem | Make multiple attempts to run a model
mxTryHardOrdinal | Make multiple attempts to run a model
mxTryHardOrig | Make multiple attempts to run a model
mxTryHardWideSearch | Make multiple attempts to run a model
mxTypes | List Currently Available Model Types
mxVersion | Returns Current Version String
MxVersionType-class | A package_version or character
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

## -- N --

Named-entities | Named Entities
named-entities | Named Entities
Named-entity | Named Entities
named-entity | Named Entities
names-method | Class '"MxConstraint"'
names-method | MxFlatModel
names-method | MxMatrix Class
names-method | MxModel Class
ncol-method | MxMatrix Class
nhanesDemo | Modified National Health and Nutrition Examination Survey demographic data
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 --

omxAICWeights | Information-Theoretic Model-Averaging and Multimodel Inference
omxAkaikeWeights | Information-Theoretic Model-Averaging and Multimodel Inference
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
omxAugmentDataWithWLSSummary | Estimate summary statistics used by the WLS fit function
omxBootstrapCov | omxGetBootstrapReplications
omxBootstrapEval | Evaluate Values in a bootstrapped MxModel
omxBootstrapEvalByName | Evaluate Values in a bootstrapped MxModel
omxBootstrapEvalCov | Evaluate Values in a bootstrapped MxModel
omxBrownie | Make Brownies in OpenMx
omxBuildAutoStartModel | Build the model used for mxAutoStart
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
omxDefaultComputePlan | Construct default compute plan
omxDetectCores | omxDetectCores
omxDnbinom | Create MxAlgebra Object
omxExponential | Matrix exponential
omxGetBootstrapReplications | omxGetBootstrapReplications
omxGetNPSOL | omxGetNPSOL
omxGetParameters | Fetch Model Parameters
omxGetRAMDepth | omxGetRAMDepth
omxGraphviz | Show RAM Model in Graphviz Format
omxGreaterThan | Logical mxAlgebra() operators
omxHasDefaultComputePlan | omxHasDefaultComputePlan
omxLapply | On-Demand Parallel Lapply
omxLessThan | Logical mxAlgebra() operators
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
omxNormalQuantiles | mxNormalQuantiles
omxNot | Logical mxAlgebra() operators
omxOr | Logical mxAlgebra() operators
omxParallelCI | Calculate confidence intervals without re-doing the primary optimization.
omxPnbinom | Create MxAlgebra Object
omxQuotes | omxQuotes
omxRAMtoML | omxRAMtoML
omxRbind | MxMatrix operations
omxReadGRMBin | Read a GCTA-Format Binary GRM into R.
omxRMSEA | Get the RMSEA with confidence intervals from model
omxRunCI | Calculate confidence intervals without re-doing the primary optimization.
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
Oscillator | Oscillator Data for Latent Differential Equations

## -- P --

p2z | Create MxAlgebra Object
predict.MxModel | 'predict' method for 'MxModel' objects
print-method | BaseCompute
print-method | MxAlgebra Class
print-method | MxAlgebraFormula
print-method | The MxCompare Class
print-method | Class '"MxConstraint"'
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 dynamic data
print-method | Create a Bock & Aitkin (1981) expectation
print-method | Hidden Markov expectation
print-method | Create MxExpectationLISREL Object
print-method | Mixture expectation
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 | Indicator with marginal Negative Binomial distribution
print-method | Indicator with marginal Poisson distribution
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 | The MxCompare Class
show-method | Class '"MxConstraint"'
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 dynamic data
show-method | Create a Bock & Aitkin (1981) expectation
show-method | Hidden Markov expectation
show-method | Create MxExpectationLISREL Object
show-method | Mixture expectation
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 | Indicator with marginal Negative Binomial distribution
show-method | Indicator with marginal Poisson distribution
show-method | Create List of Paths
show-method | Create List of Thresholds
StandMatrix-class | MxMatrix Class
summary.MxModel | Model Summary
SymmMatrix-class | MxMatrix Class

## -- T --

THard | Make multiple attempts to run a model
tr | trace
twinData | Australian twin sample biometric data.
twin_NA_dot | Twin biometric data (Practice cleaning: "." for missing data, wrong data types etc.)

## -- 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
vechs<- | Strict Half-vectorization

## -- W --

wideData | Longitudinal, Overdispersed Count Data

## -- Z --

ZeroMatrix-class | MxMatrix Class

## -- misc --

$-method | BaseCompute
$-method | An S4 base class for discrete marginal distributions
$-method | MxAlgebra Class
$-method | MxBaseExpectation
$-method | MxBaseFitFunction
$-method | The MxCompare Class
$-method | Class '"MxConstraint"'
$-method | MxData Class
$-method | MxFlatModel
$-method | MxInterval
$-method | MxMatrix Class
$-method | MxModel Class
$-method | MxPenalty
$-method | Indicator with marginal Negative Binomial distribution
$-method | Indicator with marginal Poisson distribution
$-method | Create List of Paths
$-method | Create List of Thresholds
$<--method | BaseCompute
$<--method | An S4 base class for discrete marginal distributions
$<--method | MxAlgebra Class
$<--method | MxBaseExpectation
$<--method | MxBaseFitFunction
$<--method | Class '"MxConstraint"'
$<--method | MxData Class
$<--method | MxFlatModel
$<--method | MxInterval
$<--method | MxLISRELModel
$<--method | MxMatrix Class
$<--method | MxModel Class
$<--method | MxPenalty
$<--method | MxRAMModel
$<--method | Indicator with marginal Negative Binomial distribution
$<--method | Indicator with marginal Poisson distribution
$<--method | Create List of Paths
$<--method | Create List of Thresholds
%&% | Create MxAlgebra Object
%^% | Create MxAlgebra Object
[-method | The MxCompare Class
[-method | MxMatrix Class
[<--method | MxMatrix Class
[[-method | MxFlatModel
[[-method | MxMatrix Class
[[-method | MxModel Class
[[<--method | MxFlatModel
[[<--method | MxLISRELModel
[[<--method | MxMatrix Class
[[<--method | MxModel Class
[[<--method | MxPenalty
[[<--method | MxRAMModel