Extended Structural Equation Modelling

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Documentation for package ‘OpenMx’ version 2.21.11

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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