OpenMx v2.18.1
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Functions in OpenMx
| Name | Description | |
| Bollen | Bollen Data on Industrialization and Political Democracy | |
| MxBaseObjectiveMetaData-class | MxBaseObjectiveMetaData | |
| MxFlatModel-class | MxFlatModel | |
| MxBounds-class | MxBounds Class | |
| MxInterval-class | MxInterval | |
| MxCharOrList-class | A character, list or NULL | |
| MxDirectedGraph-class | MxDirectedGraph | |
| MxDataStatic-class | Create static data | |
| MxCI-class | MxCI Class | |
| MxData-class | MxData Class | |
| MxModel-class | MxModel Class | |
| MxCharOrLogical-class | A character or logical | |
| MxDataFrameOrMatrix-class | MxDataFrameOrMatrix | |
| MxCompute-class | MxCompute | |
| MxFitFunction-class | MxFitFunction | |
| MxFitFunctionGREML-class | Class "MxFitFunctionGREML" | |
| MxCharOrNumber-class | A character or integer | |
| MxOptionalLogical-class | An optional logical | |
| MxRAMGraph-class | MxRAMGraph | |
| MxRAMModel-class | MxRAMModel | |
| MxOptionalInteger-class | An optional integer | |
| MxLISRELModel-class | MxLISRELModel | |
| MxConstraint-class | Class "MxConstraint" | |
| MxOptionalChar-class | An optional character | |
| MxVersionType-class | A package_version or character | |
| Named-entity | Named Entities | |
| imxDeparse | Deparse for MxObjects | |
| dzoData | Example twin extended kinship data: DZ opposite sex twins | |
| dzmData | Example twin extended kinship data: DZ Male data | |
| MxListOrNull-class | An optional list | |
| MxExpectation-class | MxExpectation | |
| MxExpectationGREML-class | Class "MxExpectationGREML" | |
| imxDependentModels | Are submodels dependence? | |
| imxHasConstraint | imxHasConstraint | |
| mxModelAverage | Information-Theoretic Model-Averaging and Multimodel Inference | |
| eigenvec | Eigenvector/Eigenvalue Decomposition | |
| imxHasDefinitionVariable | imxHasDefinitionVariable | |
| example1 | Bivariate twin data, wide-format from Classic Mx Manual | |
| MxMatrix-class | MxMatrix Class | |
| imxIsMultilevel | imxIsMultilevel | |
| imxCheckVariables | imxCheckVariables | |
| imxCheckMatrices | imxCheckMatrices | |
| imxIsPath | imxIsPath | |
| imxExtractReferences | imxExtractReferences | |
| imxIndependentModels | Are submodels independent? | |
| imxExtractNames | imxExtractNames | |
| imxIdentifier | imxIdentifier | |
| diag2vec | Extract Diagonal of a Matrix | |
| imxConvertIdentifier | imxConvertIdentifier | |
| dzfData | Example twin extended kinship data: DZ female data | |
| imxConvertLabel | imxConvertLabel | |
| imxPPML.Test.Battery | imxPPML.Test.Battery | |
| imxLocateLabel | imxLocateLabel | |
| as.statusCode | Convert a numeric or character vector into an optimizer status code factor | |
| imxAddDependency | Add a dependency | |
| cvectorize | Vectorize By Column | |
| imxAutoOptionValue | imxAutoOptionValue | |
| imxEvalByName | imxEvalByName | |
| imxDataTypes | Valid types of data that can be contained by MxData | |
| MxOptionalMatrix-class | An optional matrix | |
| imxFreezeModel | Freeze model | |
| imxExtractMethod | imxExtractMethod | |
| imxGenSwift | imxGenSwift | |
| imxLocateFunction | imxLocateFunction | |
| imxPreprocessModel | imxPreprocessModel | |
| imxLocateIndex | imxLocateIndex | |
| MxOptionalNumeric-class | An optional numeric | |
| imxModelTypes | imxModelTypes | |
| imxLog | Test thread-safe output code | |
| imxReplaceMethod | imxReplaceMethod | |
| imxDefaultGetSlotDisplayNames | imxDefaultGetSlotDisplayNames | |
| imxSquareMatrix | imxSquareMatrix | |
| logm | Matrix logarithm | |
| imxPPML.Test.Test | imxPPML.Test.Test | |
| imxSymmetricMatrix | imxSymmetricMatrix | |
| multiData1 | Data for multiple regression | |
| mxComputeGradientDescent | Optimize parameters using a gradient descent optimizer | |
| imxSparseInvert | Sparse symmetric matrix invert | |
| imxMpiWrap | imxMpiWrap | |
| imxSimpleRAMPredicate | imxSimpleRAMPredicate | |
| imxReportProgress | Report backend progress | |
| imxUntitledNumber | imxUntitledNumber | |
| demoOneFactor | Demonstration data for a one factor model | |
| mxComputeHessianQuality | Compute the quality of the Hessian | |
| MxOptionalDataFrame-class | An optional data.frame | |
| MxOptionalCharOrNumber-class | A character, integer, or NULL | |
| imxGenericModelBuilder | imxGenericModelBuilder | |
| imxUntitledNumberReset | imxUntitledNumberReset | |
| imxHasNPSOL | imxHasNPSOL | |
| imxGentleResize | Resize an MxMatrix while preserving entries | |
| imxLookupSymbolTable | imxLookupSymbolTable | |
| imxModelBuilder | imxModelBuilder | |
| imxReplaceSlot | imxReplaceSlot | |
| imxHasOpenMP | imxHasOpenMP | |
| imxReplaceModels | Replace parts of a model | |
| imxReverseIdentifier | imxReverseIdentifier | |
| OpenMx | OpenMx: An package for Structural Equation Modeling and Matrix Algebra Optimization | |
| Oscillator | Oscillator Data for Latent Differential Equations | |
| imxRobustSE | imxRobustSE | |
| mxComputeLoadContext | Load contextual data to supplement checkpoint | |
| imxVerifyModel | imxVerifyModel | |
| imxVerifyMatrix | imxVerifyMatrix | |
| latentMultipleRegExample1 | Example data for multiple regression among latent variables | |
| mxAlgebraObjective | DEPRECATED: Create MxAlgebraObjective Object | |
| mxComputeDefault | Default compute plan | |
| mxAutoStart | Automatically set starting values for an MxModel | |
| mxComputeConfidenceInterval | Find likelihood-based confidence intervals | |
| jointdata | Joint Ordinal and continuous variables to be modeled together | |
| imxVerifyName | imxVerifyName | |
| imxVerifyReference | imxVerifyReference | |
| imxReservedNames | imxReservedNames | |
| mxComputeIterate | Repeatedly invoke a series of compute objects until change is less than tolerance | |
| mxAvailableOptimizers | mxAvailableOptimizers | |
| mxBootstrap | Repeatedly estimate model using resampling with replacement | |
| mxComputeTryHard | Repeatedly attempt a compute plan until successful | |
| mxDescribeDataWLS | Determine whether a dataset will have weights and summary statistics for the means if used with mxFitFunctionWLS | |
| mxComputeLoop | Repeatedly invoke a series of compute objects | |
| mxComputeLoadMatrix | Load data from CSV files directly into the backend | |
| mxDataWLS | Create legacy MxData Object for Least Squares (WLS, DWLS, ULS) Analyses | |
| mxConstraint | Create MxConstraint Object | |
| mxFitFunctionAlgebra | Create MxFitFunctionAlgebra Object | |
| demoTwoFactor | Demonstration data for a two factor model | |
| mxComputeLoadData | Load columns into an MxData object | |
| expm | Matrix exponential | |
| imxGenerateNamespace | imxGenerateNamespace | |
| factorScaleExample2 | Example Factor Analysis Data for Scaling the Model | |
| imxCreateMatrix | Create a matrix | |
| genericFitDependencies,MxBaseFitFunction-method | Add dependencies | |
| imxGenerateLabels | imxGenerateLabels | |
| imxConvertSubstitution | imxConvertSubstitution | |
| example2 | Bivariate twin data, long-format from Classic Mx Manual | |
| imxGetSlotDisplayNames | imxGetSlotDisplayNames | |
| imxGetNumThreads | imxGetNumThreads | |
| mxComputeStandardError | Compute standard errors | |
| mxComputeNothing | Compute nothing | |
| mxComputeGenerateData | Generate data | |
| mxCI | Create mxCI Object | |
| mxComputeNumericDeriv | Numerically estimate Hessian using Richardson extrapolation | |
| mxComputeEM | Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithm | |
| mxBounds | Create MxBounds Object | |
| mxComputeTryCatch | Execute a sub-compute plan, catching errors | |
| imxRowGradients | imxRowGradients | |
| imxSameType | imxSameType | |
| mxComputeJacobian | Numerically estimate the Jacobian with respect to free parameters | |
| mxComputeSetOriginalStarts | Reset parameter starting values | |
| imxWlsStandardErrors | Calculate Standard Errors for a WLS Model | |
| mxAlgebraFromString | Create MxAlgebra object from a string | |
| imxUntitledName | imxUntitledName | |
| mxAlgebra | Create MxAlgebra Object | |
| imxWlsChiSquare | Calculate Chi Square for a WLS Model | |
| mxComputeBootstrap | Repeatedly estimate model using resampling with replacement | |
| imxTypeName | imxTypeName | |
| mxExpectationBA81 | Create a Bock & Aitkin (1981) expectation | |
| mxFitFunctionGREML | Create MxFitFunctionGREML Object | |
| mxComputeOnce | Compute something once | |
| mxComputeCheckpoint | Log parameters and state to disk or memory | |
| mxFitFunctionML | Create MxFitFunctionML Object | |
| mxComputeSimAnnealing | Optimization using generalized simulated annealing | |
| mxExpectationHiddenMarkov | Hidden Markov expectation | |
| mxKalmanScores | Estimate Kalman scores and error covariance matrices | |
| mxExpectationStateSpace | Create an MxExpectationStateSpace Object | |
| mxJiggle | Jiggle parameter values. | |
| mxExpectationLISREL | Create MxExpectationLISREL Object | |
| mxExpectationRAM | Create an MxExpectationRAM Object | |
| mxExpectationGREML | Create MxExpectationGREML Object | |
| mxModel | Create MxModel Object | |
| mxRAMObjective | DEPRECATED: Create MxRAMObjective Object | |
| mxMatrix | Create MxMatrix Object | |
| mxFitFunctionMultigroup | Create a fit function used to fit multiple-group models | |
| mxNormalQuantiles | mxNormalQuantiles | |
| mxSimplify2Array | Like simplify2array but works with vectors of different lengths | |
| mzfData | Example twin extended kinship data: MZ female twins | |
| mxStandardizeRAMpaths | Standardize RAM models' path coefficients | |
| mxRObjective | DEPRECATED: Create MxRObjective Object | |
| mxComputeReportDeriv | Report derivatives | |
| mxFIMLObjective | DEPRECATED: Create MxFIMLObjective Object | |
| mxMarginalPoisson | Indicator with marginal Poisson distribution | |
| mxMarginalNegativeBinomial | Indicator with marginal Negative Binomial distribution | |
| mxExpectationStateSpaceContinuousTime | Create an MxExpectationStateSpace Object | |
| mxRetro | Return random classic Mx error message | |
| mxData | Create MxData Object | |
| mxDataDynamic | Create dynamic data | |
| mxGenerateData | Generate data based on an mxModel (or a data.frame) | |
| factorExample1 | Example Factor Analysis Data | |
| mxGetExpected | Extract the component from a model's expectation | |
| mxComputeNelderMead | Optimize parameters using a variation of the Nelder-Mead algorithm. | |
| factorScaleExample1 | Example Factor Analysis Data for Scaling the Model | |
| mxMakeNames | mxMakeNames | |
| mxMLObjective | DEPRECATED: Create MxMLObjective Object | |
| mzmData | Example twin extended kinship data: MZ Male data | |
| mxOption | Set or Clear an Optimizer Option | |
| mxRestore | Restore model state from a checkpoint file | |
| mxThreshold | Create List of Thresholds | |
| mxRename | Rename MxModel or a Submodel | |
| mxComputeNewtonRaphson | Optimize parameters using the Newton-Raphson algorithm | |
| myRegData | Example regression data with correlated predictors | |
| mxTryHard | Make multiple attempts to run a model | |
| mxRowObjective | DEPRECATED: Create MxRowObjective Object | |
| imxConDecMatrixSlots | Condense/de-condense slots of an MxMatrix | |
| imxConstraintRelations | imxConstraintRelations | |
| imxDetermineDefaultOptimizer | imxDetermineDefaultOptimizer | |
| mxComputeReportExpectation | Report expectation | |
| mxRun | Run an OpenMx model | |
| mxSE | Compute standard errors in OpenMx | |
| myTwinData | Duplicate of twinData | |
| omxBrownie | Make Brownies in OpenMx | |
| omxAugmentDataWithWLSSummary | Estimate summary statistics used by the WLS fit function | |
| omxHasDefaultComputePlan | omxHasDefaultComputePlan | |
| omxCheckIdentical | Exact Equality Testing Function | |
| omxCheckNamespace | omxCheckNamespace | |
| omxLapply | On-Demand Parallel Lapply | |
| mxEval | Evaluate Values in MxModel | |
| mxExpectationMixture | Mixture expectation | |
| mxComputeSequence | Invoke a series of compute objects in sequence | |
| mxEvaluateOnGrid | Evaluate an algebra on an abscissa grid and collect column results | |
| numHess2 | numeric Hessian data 2 | |
| omxAllInt | All Interval Multivariate Normal Integration | |
| mxExpectationNormal | Create MxExpectationNormal Object | |
| omxSymbolTable | Internal OpenMx algebra operations | |
| imxDmvnorm | A C implementation of dmvnorm | |
| mxFitFunctionWLS | Create MxFitFunctionWLS Object | |
| mxGREMLDataHandler | Helper Function for Structuring GREML Data | |
| omxDefaultComputePlan | Construct default compute plan | |
| omxGraphviz | Show RAM Model in Graphviz Format | |
| omxGetRAMDepth | omxGetRAMDepth | |
| omxConstrainMLThresholds | omxConstrainMLThresholds | |
| omxCheckEquals | Equality Testing Function | |
| mxTypes | List Currently Available Model Types | |
| mxPowerSearch | Power curve | |
| myGrowthKnownClassData | Data for a growth mixture model with the true class membership | |
| mxPearsonSelCov | Perform Pearson Aitken selection | |
| omxCheckError | Correct Error Message Function | |
| omxDetectCores | omxDetectCores | |
| ordinalTwinData | Data for ordinal twin model | |
| omxGetBootstrapReplications | omxGetBootstrapReplications | |
| omxManifestModelByParameterJacobian | Estimate the Jacobian of manifest model with respect to parameters | |
| mxVersion | Returns Current Version String | |
| imxExtractSlot | imxExtractSlot | |
| myFADataRaw | Example 500-row dataset with 12 generated variables | |
| omxApply | On-Demand Parallel Apply | |
| myAutoregressiveData | Example data with autoregressively related columns | |
| omxQuotes | omxQuotes | |
| myGrowthMixtureData | Data for a growth mixture model | |
| omxCheckCloseEnough | Approximate Equality Testing Function | |
| omxCheckTrue | Boolean Equality Testing Function | |
| omxRAMtoML | omxRAMtoML | |
| omxMnor | Multivariate Normal Integration | |
| omxAssignFirstParameters | Assign First Available Values to Model Parameters | |
| imxFlattenModel | Remove hierarchical structure from model | |
| omxCheckSetEquals | Set Equality Testing Function | |
| omxGetNPSOL | omxGetNPSOL | |
| imxHasThresholds | imxHasThresholds | |
| omxBuildAutoStartModel | Build the model used for mxAutoStart | |
| omxGetParameters | Fetch Model Parameters | |
| summary.MxModel | Model Summary | |
| omxModelDeleteData | Remove all instances of data from a model | |
| twinData | Australian twin sample biometric data. | |
| tr | trace | |
| twin_NA_dot | Twin biometric data (Practice cleaning: "." for missing data, wrong data types etc.) | |
| omxMatrixOperations | MxMatrix operations | |
| vechs2full | Inverse Strict Half-vectorization | |
| imxHasWLS | imxHasWLS | |
| omxSapply | On-Demand Parallel Sapply | |
| vec2diag | Create Diagonal Matrix From Vector | |
| omxSaturatedModel | Create Reference (Saturated and Independence) Models | |
| vech | Half-vectorization | |
| omxNameAnonymousParameters | omxNameAnonymousParameters | |
| omxParallelCI | Calculate confidence intervals without re-doing the primary optimization. | |
| imxInitModel | imxInitModel | |
| imxIsDefinitionVariable | imxIsDefinitionVariable | |
| imxOriginalMx | Run an classic mx script | |
| imxPPML | imxPPML | |
| predict.MxModel | predict method for MxModel objects | |
| imxSfClient | imxSfClient | |
| imxSeparatorChar | imxSeparatorChar | |
| imxUpdateModelValues | imxUpdateModelValues | |
| imxVariableTypes | imxVariableTypes | |
| rvectorize | Vectorize By Row | |
| mxBootstrapStdizeRAMpaths | Bootstrap distribution of standardized RAM path coefficients | |
| mxBootstrapEval | Evaluate Values in a bootstrapped MxModel | |
| lazarsfeld | Respondent-soldiers on four dichotomous items | |
| mxCheckIdentification | Check that a model is locally identified | |
| latentMultipleRegExample2 | Example data for multiple regression among latent variables | |
| mxFactor | Fail-safe Factors | |
| mxFactorScores | Estimate factor scores and standard errors | |
| mxCompare | Likelihood ratio test | |
| mxFitFunctionRow | Create an MxFitFunctionRow Object | |
| mxFitFunctionR | Create MxFitFunctionR Object | |
| mxMI | Estimate Modification Indices for MxModel Objects | |
| mxParametricBootstrap | Assess whether potential parameters should be freed using parametric bootstrap | |
| mxLISRELObjective | Create MxLISRELObjective Object | |
| mxPath | Create List of Paths | |
| mxSave | Save model state to a checkpoint file | |
| myLongitudinalData | Data for a linear latent growth curve model | |
| mxSetDefaultOptions | Reset global options to the default | |
| myRegDataRaw | Example regression data with correlated predictors | |
| nuclear_twin_design_data | Twin data from a nuclear family design | |
| numHess1 | numeric Hessian data 1 | |
| omxCheckWithinPercentError | Approximate Percent Equality Testing Function | |
| omxCheckWarning | Correct Warning Message Function | |
| omxLocateParameters | Get the location (model, matrix, row, column) and other info for a parameter | |
| omxLogical | Logical mxAlgebra() operators | |
| omxReadGRMBin | Read a GCTA-Format Binary GRM into R. | |
| omxRMSEA | Get the RMSEA with confidence intervals from model | |
| omxSelectRowsAndCols | Filter rows and columns from an mxMatrix | |
| omxSetParameters | Assign Model Parameters | |
| vech2full | Inverse Half-vectorization | |
| vechs | Strict Half-vectorization | |
| MxAlgebraFormula-class | MxAlgebraFormula | |
| MxBaseExpectation-class | MxBaseExpectation | |
| DiscreteBase-class | An S4 base class for discrete marginal distributions | |
| HS.ability.data | Holzinger & Swineford (1939) Ability in 301 children from 2 schools | |
| MxBaseFitFunction-class | MxBaseFitFunction | |
| MxBaseNamed-class | MxBaseNamed | |
| MxAlgebra-class | MxAlgebra Class | |
| LongitudinalOverdispersedCounts | Longitudinal, Overdispersed Count Data | |
| BaseCompute-class | BaseCompute | |
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