B C D E F G H I J L M N O P R S T U V Z misc
| OpenMx-package | OpenMx: An package for Structural Equation Modeling and Matrix Algebra Optimization | 
| BaseCompute-class | BaseCompute | 
| Bollen | Bollen Data on Industrialization and Political Democracy | 
| 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 | 
| DiagMatrix-class | MxMatrix Class | 
| dim-method | MxMatrix Class | 
| dimnames-method | MxAlgebra Class | 
| dimnames-method | MxMatrix Class | 
| dimnames<--method | MxAlgebra Class | 
| dimnames<--method | MxMatrix Class | 
| dzfData | DZ female data | 
| dzmData | DZ Male data | 
| dzoData | DZ opposite sex data | 
| eigenval | Eigenvector/Eigenvalue Decomposition | 
| eigenvec | Eigenvector/Eigenvalue Decomposition | 
| example1 | Bivariate twin data example from Classic Mx Manual | 
| example2 | Bivariate twin data example from Classic Mx Manual | 
| expm | Matrix exponential | 
| 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 | 
| genericFitDependencies-method | Add dependencies | 
| HS.ability.data | Holzinger and Swineford (1939) Ability data in 301 children from two schools | 
| HS.fake.data | Holzinger and Swineford (1939) Ability data in 301 children from two schools | 
| IdenMatrix-class | MxMatrix Class | 
| ieigenval | Eigenvector/Eigenvalue Decomposition | 
| ieigenvec | Eigenvector/Eigenvalue Decomposition | 
| imxAddDependency | Add a dependency | 
| imxCheckMatrices | imxCheckMatrices | 
| imxCheckVariables | imxCheckVariables | 
| imxConDecMatrixSlots | Condense/decondense slots of an MxMatrix | 
| imxConDecMatrixSlots-method | Condense/decondense slots of an MxMatrix | 
| imxConstraintRelations | imxConstraintRelations | 
| imxConvertIdentifier | imxConvertIdentifier | 
| imxConvertLabel | imxConvertLabel | 
| imxConvertSubstitution | imxConvertSubstitution | 
| imxCreateMatrix | Create a matrix | 
| imxCreateMatrix-method | Create a matrix | 
| imxDataTypes | Valid types of data that can be contained by MxData | 
| imxDefaultGetSlotDisplayNames | imxDefaultGetSlotDisplayNames | 
| imxDeparse | Deparse for MxObjects | 
| imxDeparse-method | Deparse for MxObjects | 
| imxDependentModels | Are submodels dependence? | 
| imxDetermineDefaultOptimizer | imxDetermineDefaultOptimizer | 
| imxDiff | Set difference on regular types or S4 objects | 
| imxDmvnorm | A C implementation of dmvnorm | 
| imxEvalByName | imxEvalByName | 
| imxExtractMethod | imxExtractMethod | 
| imxExtractNames | imxExtractNames | 
| imxExtractReferences | imxExtractReferences | 
| imxExtractSlot | imxExtractSlot | 
| imxFilterDefinitionVariables | imxFilterDefinitionVariables | 
| imxFlattenModel | Remove heirarchical structure from model | 
| imxFreezeModel | Freeze model | 
| imxGenerateLabels | imxGenerateLabels | 
| imxGenerateNamespace | imxGenerateNamespace | 
| imxGenericModelBuilder | imxGenericModelBuilder | 
| imxGenSwift | imxGenSwift | 
| imxGetExpectationComponent | Extract the component from a model's expectation | 
| imxGetSlotDisplayNames | imxGetSlotDisplayNames | 
| imxHasNPSOL | imxHasNPSOL | 
| imxHasOpenMP | imxHasOpenMP | 
| imxIdentifier | imxIdentifier | 
| imxIndependentModels | Are submodels independent? | 
| imxInitModel | imxInitModel | 
| imxInitModel-method | imxInitModel | 
| imxIsDefinitionVariable | imxIsDefinitionVariable | 
| imxIsPath | imxIsPath | 
| imxLocateFunction | imxLocateFunction | 
| imxLocateIndex | imxLocateIndex | 
| imxLocateLabel | imxLocateLabel | 
| imxLog | Test thread-safe output code | 
| imxLookupSymbolTable | imxLookupSymbolTable | 
| imxModelBuilder | imxModelBuilder | 
| imxModelBuilder-method | imxModelBuilder | 
| imxModelTypes | imxModelTypes | 
| imxMpiWrap | imxMpiWrap | 
| imxOriginalMx | imxOriginalMx | 
| imxPPML | imxPPML | 
| imxPPML.Test.Battery | imxPPML.Test.Battery | 
| imxPPML.Test.Test | imxPPML.Test.Test | 
| imxPreprocessModel | imxPreprocessModel | 
| imxReplaceMethod | imxReplaceMethod | 
| imxReplaceModels | Replace parts of a model | 
| imxReplaceSlot | imxReplaceSlot | 
| imxReservedNames | imxReservedNames | 
| imxReverseIdentifier | imxReverseIdentifier | 
| imxSameType | imxSameType | 
| imxSeparatorChar | imxSeparatorChar | 
| imxSfClient | imxSfClient | 
| imxSimpleRAMPredicate | imxSimpleRAMPredicate | 
| imxSparseInvert | Sparse symmetric matrix invert | 
| imxSquareMatrix | imxSquareMatrix | 
| imxSquareMatrix-method | imxSquareMatrix | 
| imxSymmetricMatrix | imxSymmetricMatrix | 
| imxSymmetricMatrix-method | imxSymmetricMatrix | 
| imxTypeName | imxTypeName | 
| imxTypeName-method | imxTypeName | 
| imxUntitledName | imxUntitledName | 
| imxUntitledNumber | imxUntitledNumber | 
| imxUntitledNumberReset | imxUntitledNumberReset | 
| imxUpdateModelValues | imxUpdateModelValues | 
| imxVariableTypes | imxVariableTypes | 
| imxVerifyMatrix | imxVerifyMatrix | 
| imxVerifyMatrix-method | imxVerifyMatrix | 
| imxVerifyModel | imxVerifyModel | 
| imxVerifyModel-method | imxVerifyModel | 
| imxVerifyName | imxVerifyName | 
| imxVerifyReference | imxVerifyReference | 
| imxWlsChiSquare | Calculate Chi Square for a WLS Model | 
| imxWlsStandardErrors | Calculate Standard Errors for a WLS Model | 
| 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 | 
| length-method | MxMatrix Class | 
| logm | Matrix logarithm | 
| LowerMatrix-class | MxMatrix Class | 
| multiData1 | Data for multiple regression | 
| MxAlgebra | MxAlgebra Class | 
| mxAlgebra | Create MxAlgebra Object | 
| MxAlgebra-class | MxAlgebra Class | 
| MxAlgebraFormula | MxAlgebraFormula | 
| MxAlgebraFormula-class | MxAlgebraFormula | 
| mxAlgebraObjective | DEPRECATED: Create MxAlgebraObjective Object | 
| MxBaseExpectation-class | MxBaseExpectation | 
| MxBaseFitFunction-class | MxBaseFitFunction | 
| MxBaseNamed | MxBaseNamed | 
| MxBaseNamed-class | MxBaseNamed | 
| MxBaseObjectiveMetaData | MxBaseObjectiveMetaData | 
| MxBaseObjectiveMetaData-class | MxBaseObjectiveMetaData | 
| MxBounds | MxBounds Class | 
| mxBounds | Create MxBounds Object | 
| MxBounds-class | MxBounds Class | 
| MxCharOrList-class | A character, list or NULL | 
| MxCharOrNumber-class | A character or integer | 
| mxCheckIdentification | Check that a model is locally identified | 
| MxCI | MxCI Class | 
| mxCI | Create mxCI Object | 
| mxCompare | Assign Model Parameters | 
| MxCompute | MxCompute | 
| MxCompute-class | MxCompute | 
| mxComputeConfidenceInterval | Find likelihood-based confidence intervals | 
| MxComputeConfidenceInterval-class | Find likelihood-based confidence intervals | 
| 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 | 
| mxComputeGradientDescent | Optimize parameters using a gradient descent optimizer | 
| MxComputeGradientDescent-class | Optimize parameters using a gradient descent optimizer | 
| mxComputeHessianQuality | Compute the quality of the Hessian | 
| MxComputeHessianQuality-class | Compute the quality of the Hessian | 
| mxComputeIterate | Repeatedly invoke a series of compute objects until change is less than tolerance | 
| MxComputeIterate-class | Repeatedly invoke a series of compute objects until change is less than tolerance | 
| mxComputeNewtonRaphson | Optimize parameters using the Newton-Raphson algorithm | 
| MxComputeNewtonRaphson-class | Optimize parameters using the Newton-Raphson algorithm | 
| mxComputeNothing | Compute nothing | 
| mxComputeNumericDeriv | Numerically estimate Hessian using Richardson extrapolation | 
| MxComputeNumericDeriv-class | Numerically estimate Hessian using Richardson extrapolation | 
| mxComputeOnce | Compute something once | 
| MxComputeOnce-class | Compute something once | 
| mxComputeReportDeriv | Report derivatives | 
| MxComputeReportDeriv-class | Report derivatives | 
| mxComputeSequence | Invoke a series of compute objects in sequence | 
| MxComputeSequence-class | Invoke a series of compute objects in sequence | 
| mxComputeStandardError | Compute standard errors given the Hessian or inverse Hessian | 
| MxComputeStandardError-class | Compute standard errors given the Hessian or inverse Hessian | 
| MxConstraint | MxConstraint Class | 
| mxConstraint | Create MxConstraint Object | 
| MxConstraint-class | MxConstraint Class | 
| MxData | MxData Class | 
| mxData | Create MxData Object | 
| MxData-class | MxData Class | 
| mxDataDynamic | Create dynamic data | 
| MxDataDynamic-class | Create dynamic data | 
| MxDataFrameOrMatrix | MxDataFrameOrMatrix | 
| MxDataFrameOrMatrix-class | MxDataFrameOrMatrix | 
| MxDataStatic | Create static data | 
| MxDataStatic-class | Create static data | 
| mxDataWLS | Create MxData Object for Least Squares (WLS, DLS, ULS) Analyses | 
| MxDirectedGraph | MxDirectedGraph | 
| MxDirectedGraph-class | MxDirectedGraph | 
| mxEval | Evaluate Values in MxModel | 
| mxEvalByName | Evaluate Values in MxModel | 
| MxExpectation | MxExpectation | 
| MxExpectation-class | MxExpectation | 
| mxExpectationBA81 | Create a Bock & Aitkin (1981) expectation | 
| MxExpectationBA81-class | Create a Bock & Aitkin (1981) expectation | 
| MxExpectationGREML | Class "MxExpectationGREML" | 
| mxExpectationGREML | Create MxExpectationGREML Object | 
| MxExpectationGREML-class | Class "MxExpectationGREML" | 
| mxExpectationLISREL | Create MxExpectationLISREL Object | 
| MxExpectationLISREL-class | Create MxExpectationLISREL Object | 
| mxExpectationNormal | Create MxExpectationNormal Object | 
| MxExpectationNormal-class | Create MxExpectationNormal Object | 
| mxExpectationRAM | Create an MxExpectationRAM Object | 
| MxExpectationRAM-class | Create an MxExpectationRAM Object | 
| 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 | 
| mxFIMLObjective | DEPRECATED: Create MxFIMLObjective Object | 
| MxFitFunction | MxFitFunction | 
| MxFitFunction-class | MxFitFunction | 
| mxFitFunctionAlgebra | Create MxFitFunctionAlgebra Object | 
| MxFitFunctionAlgebra-class | Create MxFitFunctionAlgebra Object | 
| MxFitFunctionGREML | Class '"MxFitFunctionGREML"' | 
| mxFitFunctionGREML | Create MxFitFunctionGREML Object | 
| MxFitFunctionGREML-class | Class '"MxFitFunctionGREML"' | 
| mxFitFunctionML | Create MxFitFunctionML Object | 
| MxFitFunctionML-class | Create MxFitFunctionML Object | 
| mxFitFunctionMultigroup | Aggregate fit statistics from multiple submodels | 
| MxFitFunctionMultigroup-class | Aggregate fit statistics from multiple submodels | 
| mxFitFunctionR | Create MxFitFunctionR Object | 
| MxFitFunctionR-class | Create MxFitFunctionR Object | 
| mxFitFunctionRow | Create an MxFitFunctionRow Object | 
| MxFitFunctionRow-class | Create an MxFitFunctionRow Object | 
| mxFitFunctionWLS | Create MxFitFunctionWLS Object | 
| MxFitFunctionWLS-class | Create MxFitFunctionWLS Object | 
| MxFlatModel-class | MxFlatModel | 
| mxGenerateData | Generate data based on an MxModel object | 
| mxGetExpected | Extract the component from a model's expectation | 
| mxGREMLDataHandler | Helper Function for Structuring GREML Data | 
| MxInterval-class | MxInterval | 
| mxKalmanScores | Estimate Kalman scores and error covariance matrices | 
| MxLISRELModel-class | MxLISRELModel | 
| mxLISRELObjective | Create MxLISRELObjective Object | 
| MxListOrNull-class | An optional list | 
| mxMakeNames | mxMakeNames | 
| MxMatrix | MxMatrix Class | 
| mxMatrix | Create MxMatrix Object | 
| MxMatrix-class | MxMatrix Class | 
| mxMI | Estimate Modification Indices for MxModel Objects | 
| mxMLObjective | DEPRECATED: Create MxMLObjective Object | 
| MxModel | MxModel Class | 
| mxModel | Create MxModel Object | 
| MxModel-class | MxModel Class | 
| MxNonNullData-class | MxData Class | 
| mxOption | Set or Clear an Optimizer Option | 
| MxOptionalChar-class | An optional character | 
| MxOptionalCharOrNumber-class | A character, integer, or NULL | 
| MxOptionalLogical-class | An optional logical | 
| MxOptionalMatrix-class | An optional matrix | 
| MxOptionalNumeric-class | An optional numeric | 
| mxPath | Create List of Paths | 
| MxPath-class | Create List of Paths | 
| MxRAMGraph | MxRAMGraph | 
| MxRAMGraph-class | MxRAMGraph | 
| MxRAMMetaData-class | Meta Data for RAM | 
| MxRAMModel-class | MxRAMModel | 
| mxRAMObjective | DEPRECATED: Create MxRAMObjective Object | 
| mxRefModels | Create Reference (Saturated and Independence) Models | 
| mxRename | Rename MxModel or a Submodel | 
| mxRestore | Restore From Checkpoint File | 
| mxRObjective | DEPRECATED: Create MxRObjective Object | 
| mxRowObjective | DEPRECATED: Create MxRowObjective Object | 
| mxRun | Send a Model to the Optimizer | 
| mxSave | Save End State to Checkpoint File | 
| mxSetDefaultOptions | Reset global options to the default | 
| mxSimplify2Array | Like simplify2array but works with vectors of different lengths | 
| mxStandardizeRAMpaths | Standardize RAM models' path coefficients | 
| mxSummary | Model Summary | 
| mxThreshold | Create List of Thresholds | 
| MxThreshold-class | Create List of Thresholds | 
| mxTryHard | Make multiple attempts to run a model | 
| mxTypes | List Currently Available Model Types | 
| mxVersion | Returns Current Version String | 
| myAutoregressiveData | Example data with autoregressively related columns | 
| myFADataRaw | Example 500-row dataset with 12 generated variables | 
| myGrowthKnownClassData | Data for a growth mixture model with the true class membership | 
| myGrowthMixtureData | Data for a growth mixture model | 
| myLongitudinalData | Data for a linear latent growth curve model | 
| myRegData | Example regression data with correlated predictors | 
| myRegDataRaw | Example regression data with correlated predictors | 
| myTwinData | Twin data on weight and height | 
| mzfData | MZ female example twin data | 
| mzmData | MZ Male example data | 
| Named-entities | Named Entities | 
| named-entities | Named Entities | 
| Named-entity | Named Entities | 
| named-entity | Named Entities | 
| names-method | MxFlatModel | 
| names-method | MxMatrix Class | 
| names-method | MxModel Class | 
| ncol-method | MxMatrix Class | 
| nrow-method | MxMatrix Class | 
| nuclear_twin_design_data | Twin data from a nuclear family design | 
| numHess1 | numeric Hessian data 1 | 
| numHess2 | numeric Hessian data 2 | 
| omxAllInt | All Interval Multivariate Normal Integration | 
| omxAnd | Logical mxAlgebra() operators | 
| omxApply | On-Demand Parallel Apply | 
| omxApproxEquals | Logical mxAlgebra() operators | 
| omxAssignFirstParameters | Assign First Available Values to Model Parameters | 
| omxBrownie | Make Brownies in OpenMx | 
| omxCbind | MxMatrix operations | 
| omxCheckCloseEnough | Approximate Equality Testing Function | 
| omxCheckEquals | Equality Testing Function | 
| omxCheckError | Correct Error Message Function | 
| omxCheckIdentical | Exact Equality Testing Function | 
| omxCheckNamespace | omxCheckNamespace | 
| omxCheckSetEquals | Set Equality Testing Function | 
| omxCheckTrue | Boolean Equality Testing Function | 
| omxCheckWarning | Correct Warning Message Function | 
| omxCheckWithinPercentError | Approximate Percent Equality Testing Function | 
| omxConstrainMLThresholds | omxConstrainMLThresholds | 
| omxDetectCores | omxDetectCores | 
| omxExponential | Matrix exponential | 
| omxGetNPSOL | omxGetNPSOL | 
| omxGetParameters | Fetch Model Parameters | 
| omxGetRAMDepth | omxGetRAMDepth | 
| omxGraphviz | Show RAM Model in Graphviz Format | 
| omxGreaterThan | Logical mxAlgebra() operators | 
| omxLapply | On-Demand Parallel Lapply | 
| omxLessThan | Logical mxAlgebra() operators | 
| omxLocateParameters | Summarize Model Parameters | 
| omxLogical | Logical mxAlgebra() operators | 
| omxMatrixOperations | MxMatrix operations | 
| omxMnor | Multivariate Normal Integration | 
| omxNameAnonymousParameters | omxNameAnonymousParameters | 
| omxNormalQuantiles | omxNormalQuantiles | 
| omxNot | Logical mxAlgebra() operators | 
| omxOr | Logical mxAlgebra() operators | 
| omxParallelCI | omxParallelCI | 
| omxQuotes | omxQuotes | 
| omxRAMtoML | omxRAMtoML | 
| omxRbind | MxMatrix operations | 
| omxRMSEA | Get the RMSEA with confidence intervals from model | 
| omxSapply | On-Demand Parallel Sapply | 
| omxSaturatedModel | Create Reference (Saturated and Independence) Models | 
| omxSelectCols | Filter rows and columns from an mxMatrix | 
| omxSelectRows | Filter rows and columns from an mxMatrix | 
| omxSelectRowsAndCols | Filter rows and columns from an mxMatrix | 
| omxSetParameters | Assign Model Parameters | 
| omxSymbolTable | Internal OpenMx algebra operations | 
| omxTranspose | MxMatrix operations | 
| OpenMx | OpenMx: An package for Structural Equation Modeling and Matrix Algebra Optimization | 
| ordinalTwinData | Data for ordinal twin model | 
| p2z | Create MxAlgebra Object | 
| print-method | BaseCompute | 
| print-method | MxAlgebra Class | 
| print-method | MxAlgebraFormula | 
| print-method | MxData Class | 
| print-method | Create static data | 
| print-method | MxFlatModel | 
| print-method | MxInterval | 
| print-method | MxMatrix Class | 
| print-method | MxModel Class | 
| print-method | Create MxConstraint Object | 
| print-method | Create dynamic data | 
| print-method | Create a Bock & Aitkin (1981) expectation | 
| print-method | Create MxExpectationLISREL Object | 
| print-method | Create MxExpectationNormal Object | 
| print-method | Create an MxExpectationRAM Object | 
| print-method | Create an MxExpectationStateSpace Object | 
| print-method | Create MxFitFunctionAlgebra Object | 
| print-method | Create MxFitFunctionML Object | 
| print-method | Create MxFitFunctionR Object | 
| print-method | Create an MxFitFunctionRow Object | 
| print-method | Create MxFitFunctionWLS Object | 
| print-method | Create List of Paths | 
| print-method | Create List of Thresholds | 
| rvectorize | Vectorize By Row | 
| SdiagMatrix-class | MxMatrix Class | 
| show-method | BaseCompute | 
| show-method | MxAlgebra Class | 
| show-method | MxAlgebraFormula | 
| show-method | MxData Class | 
| show-method | Create static data | 
| show-method | MxFlatModel | 
| show-method | MxInterval | 
| show-method | MxMatrix Class | 
| show-method | MxModel Class | 
| show-method | Create MxConstraint Object | 
| show-method | Create dynamic data | 
| show-method | Create a Bock & Aitkin (1981) expectation | 
| show-method | Create MxExpectationLISREL Object | 
| show-method | Create MxExpectationNormal Object | 
| show-method | Create an MxExpectationRAM Object | 
| show-method | Create an MxExpectationStateSpace Object | 
| show-method | Create MxFitFunctionAlgebra Object | 
| show-method | Create MxFitFunctionML Object | 
| show-method | Create MxFitFunctionR Object | 
| show-method | Create an MxFitFunctionRow Object | 
| show-method | Create MxFitFunctionWLS Object | 
| show-method | Create List of Paths | 
| show-method | Create List of Thresholds | 
| StandMatrix-class | MxMatrix Class | 
| summary | Model Summary | 
| summary-method | Model Summary | 
| SymmMatrix-class | MxMatrix Class | 
| tr | trace | 
| twinData | Australian twin sample biometric data. | 
| twin_NA_dot | Twin data on weight and height | 
| UnitMatrix-class | MxMatrix Class | 
| vec2diag | Create Diagonal Matrix From Vector | 
| vech | Half-vectorization | 
| vech2full | Inverse Half-vectorization | 
| vechs | Strict Half-vectorization | 
| vechs2full | Inverse Strict Half-vectorization | 
| ZeroMatrix-class | MxMatrix Class | 
| $-method | BaseCompute | 
| $-method | MxAlgebra Class | 
| $-method | MxBaseExpectation | 
| $-method | MxBaseFitFunction | 
| $-method | MxConstraint Class | 
| $-method | MxData Class | 
| $-method | MxFlatModel | 
| $-method | MxInterval | 
| $-method | MxMatrix Class | 
| $-method | MxModel Class | 
| $-method | Create List of Paths | 
| $-method | Create List of Thresholds | 
| $<--method | BaseCompute | 
| $<--method | MxAlgebra Class | 
| $<--method | MxBaseExpectation | 
| $<--method | MxBaseFitFunction | 
| $<--method | MxConstraint Class | 
| $<--method | MxData Class | 
| $<--method | MxFlatModel | 
| $<--method | MxInterval | 
| $<--method | MxLISRELModel | 
| $<--method | MxMatrix Class | 
| $<--method | MxModel Class | 
| $<--method | MxRAMModel | 
| $<--method | Create List of Paths | 
| $<--method | Create List of Thresholds | 
| %&% | Create MxAlgebra Object | 
| %^% | Create MxAlgebra Object | 
| [-method | MxMatrix Class | 
| [<--method | MxMatrix Class | 
| [[-method | MxFlatModel | 
| [[-method | MxModel Class | 
| [[<--method | MxFlatModel | 
| [[<--method | MxLISRELModel | 
| [[<--method | MxModel Class | 
| [[<--method | MxRAMModel |