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 |
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 Weighted Least Squares |
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 |
mxExpectationStateSpace | Create an MxExpectationStateSpace Object |
MxExpectationStateSpace-class | 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 |
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 |