Man pages for OpenMx/OpenMx
Extended Structural Equation Modelling
| as.statusCode | Convert a numeric or character vector into an optimizer... |
| Bollen_data | Bollen Data on Industrialization and Political Democracy |
| cvectorize | Vectorize By Column |
| demoOneFactor_data | Demonstration data for a one factor model |
| demoTwoFactor_data | 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_data | Bivariate twin data, wide-format from Classic Mx Manual |
| example2_data | Bivariate twin data, long-format from Classic Mx Manual |
| factorExample1_data | Example Factor Analysis Data |
| factorScaleExample1_data | Example Factor Analysis Data for Scaling the Model |
| factorScaleExample2_data | Example Factor Analysis Data for Scaling the Model |
| HS.ability.data | Holzinger & Swineford (1939) Ability in 301 children from 2... |
| imxGetNumThreads | imxGetNumThreads |
| imxReportProgress | Report backend progress |
| imxWlsChiSquare | Calculate Chi Square for a WLS Model |
| imxWlsStandardErrors | Calculate Standard Errors for a WLS Model |
| jointdata_data | Joint Ordinal and continuous variables to be modeled together |
| latentMultipleRegExample1_data | Example data for multiple regression among latent variables |
| latentMultipleRegExample2_data | Example data for multiple regression among latent variables |
| lazarsfeld_data | Respondent-soldiers on four dichotomous items |
| LongitudinalOverdispersedCounts | Longitudinal, Overdispersed Count Data |
| multiData1_data | Data for multiple regression |
| mxAlgebra | Create MxAlgebra Object |
| MxAlgebra-class | MxAlgebra Class |
| mxAlgebraObjective | DEPRECATED: Create MxAlgebraObjective Object |
| 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 |
| MxBounds-class | MxBounds Class |
| mxCheckIdentification | Check that a model is locally identified |
| mxCI | Create mxCI Object |
| MxCI-class | MxCI Class |
| mxCompare | Likelihood ratio test |
| mxComputeBootstrap | Repeatedly estimate model using resampling with replacement |
| mxComputeJacobian | Numerically estimate the Jacobian with respect to free... |
| mxComputeLoadMatrix | Load data from CSV files directly into the backend |
| mxComputeNelderMead | Optimize parameters using a variation of the Nelder-Mead... |
| mxComputeSimAnnealing | Optimization using generalized simulated annealing |
| mxConstraint | Create MxConstraint Object |
| MxConstraint-class | Class '"MxConstraint"' |
| mxData | Create MxData Object |
| MxData-class | MxData Class |
| mxDataWLS | Create legacy MxData Object for Least Squares (WLS, DWLS,... |
| mxEval | Evaluate Values in MxModel |
| mxEvaluateOnGrid | Evaluate an algebra on an abscissa grid and collect column... |
| mxExpectationGREML | Create MxExpectationGREML Object |
| MxExpectationGREML-class | Class "MxExpectationGREML" |
| 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 |
| mxFactor | Fail-safe Factors |
| mxFactorScores | Estimate factor scores and standard errors |
| mxFIMLObjective | DEPRECATED: Create MxFIMLObjective Object |
| mxFitFunctionAlgebra | Create MxFitFunctionAlgebra Object |
| mxFitFunctionGREML | Create MxFitFunctionGREML Object |
| MxFitFunctionGREML-class | Class '"MxFitFunctionGREML"' |
| 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 |
| 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 |
| mxJiggle | Jiggle parameter values. |
| mxKalmanScores | Estimate Kalman scores and error covariance matrices |
| mxLISRELObjective | Create MxLISRELObjective Object |
| mxMatrix | Create MxMatrix Object |
| MxMatrix-class | MxMatrix Class |
| mxMI | Estimate Modification Indices for MxModel Objects |
| mxMLObjective | DEPRECATED: Create MxMLObjective Object |
| MxMMI | Information-Theoretic Model-Averaging and Multimodel... |
| mxModel | Create MxModel Object |
| MxModel-class | MxModel Class |
| mxOption | Set or Clear an Optimizer Option |
| mxParametricBootstrap | Assess whether potential parameters should be freed using... |
| mxPath | Create List of Paths |
| mxPearsonSelCov | Perform Pearson Aitken selection |
| mxPower | Power curve |
| mxRAMObjective | DEPRECATED: Create MxRAMObjective Object |
| mxRename | Rename a model or submodel |
| mxRObjective | DEPRECATED: Create MxRObjective Object |
| mxRowObjective | DEPRECATED: Create MxRowObjective Object |
| mxRun | Run an OpenMx model |
| 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_data | Example data with autoregressively related columns |
| myFADataRaw | Example 500-row dataset with 12 generated variables |
| myGrowthKnownClassData_data | Data for a growth mixture model with the true class... |
| myGrowthMixtureData_data | Data for a growth mixture model |
| myLongitudinalData_data | Data for a linear latent growth curve model |
| myRegData_data | Example regression data with correlated predictors |
| myRegDataRaw_data | Example regression data with correlated predictors |
| myTwinData_data | Duplicate of twinData |
| mzfData | Example twin extended kinship data: MZ female twins |
| mzmData | Example twin extended kinship data: MZ Male data |
| Named-entity | Named Entities |
| nhanesDemo | Modified National Health and Nutrition Examination Survey... |
| 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 |
| omxBrownie | Make Brownies in OpenMx |
| omxCheckEquals | Equality Testing Function |
| omxCheckIdentical | Exact Equality Testing Function |
| omxCheckSetEquals | Set Equality Testing Function |
| omxCheckTrue | Boolean Equality Testing Function |
| omxCheckWithinPercentError | Approximate Percent Equality Testing Function |
| omxDefaultComputePlan | Construct default compute plan |
| omxGetBootstrapReplications | omxGetBootstrapReplications |
| omxGetParameters | Fetch Model Parameters |
| omxGraphviz | Show RAM Model in Graphviz Format |
| omxLapply | On-Demand Parallel Lapply |
| omxLocateParameters | Get the location (model, matrix, row, column) and other info... |
| omxLogical | Logical mxAlgebra() operators |
| omxMatrixOperations | MxMatrix operations |
| omxMnor | Multivariate Normal Integration |
| omxModelDeleteData | Remove all instances of data from a model |
| omxParallelCI | Calculate confidence intervals without re-doing the primary... |
| omxReadGRMBin | Read a GCTA-Format Binary GRM into R. |
| omxRMSEA | Get the RMSEA with confidence intervals from model |
| 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 |
| Oscillator_data | Oscillator Data for Latent Differential Equations |
| rvectorize | Vectorize By Row |
| summary.MxModel | Model Summary |
| tr | trace |
| twinData | Australian twin sample biometric data. |
| twin_NA_dot_data | Twin biometric data (Practice cleaning: "." for missing data,... |
| vec2diag | Create Diagonal Matrix From Vector |
| vech | Half-vectorization |
| vech2full | Inverse Half-vectorization |
| vechs | Strict Half-vectorization |
| vechs2full | Inverse Strict Half-vectorization |
