MxAlgebra Class
MxBaseExpectation
Holzinger and Swineford (1939) Ability data in 301 children from two schools
MxBaseObjectiveMetaData-class
MxBaseObjectiveMetaData
MxDataFrameOrMatrix-class
MxDataFrameOrMatrix
MxData Class
MxBounds Class
MxExpectation
Bollen Data on Industrialization and Political Democracy
Demonstration data for a one factor model
MxFlatModel
Valid types of data that can be contained by MxData
Vectorize By Column
Create a matrix
MxDirectedGraph
imxGenSwift
imxExtractMethod
imxMpiWrap
imxHasOpenMP
An optional character
Sparse symmetric matrix invert
imxTypeName
imxReservedNames
imxVerifyMatrix
Calculate Chi Square for a WLS Model
Example Factor Analysis Data for Scaling the Model
imxSfClient
imxPPML
imxConvertSubstitution
imxSymmetricMatrix
imxVerifyModel
imxCheckMatrices
Calculate Standard Errors for a WLS Model
Class "MxExpectationGREML"
BaseCompute
latentMultipleRegExample2
Example data for multiple regression among latent variables
Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithm
Remove heirarchical structure from model
MxLISRELModel
Eigenvector/Eigenvalue Decomposition
An optional numeric
Create MxConstraint Object
latentMultipleRegExample1
Example data for multiple regression among latent variables
Create a Bock & Aitkin (1981) expectation
MxFitFunction
Class "MxFitFunctionGREML"
MxCompute
DZ female data
Check that a model is locally identified
Default compute plan
Create MxExpectationGREML Object
Create MxData Object
imxLocateLabel
Joint Ordinal and continuous variables to be modeled together
Create MxMatrix Object
Numerically estimate Hessian using Richardson extrapolation
imxUntitledNumber
Add a dependency
Data for a linear latent growth curve model
Example regression data with correlated predictors
imxDefaultGetSlotDisplayNames
imxDefaultGetSlotDisplayNames
A C implementation of dmvnorm
Condense/decondense slots of an MxMatrix
MxCI Class
imxExtractReferences
Bivariate twin data example from Classic Mx Manual
MxBaseFitFunction
Twin data on weight and height
imxVerifyReference
MxAlgebraFormula
Bivariate twin data example from Classic Mx Manual
Example Factor Analysis Data
Make Brownies in OpenMx
Create MxLISRELObjective Object
DEPRECATED: Create MxRAMObjective Object
imxLocateFunction
imxGenerateLabels
omxCheckNamespace
A character, list or NULL
Show RAM Model in Graphviz Format
Generate data based on an MxModel object
A character or integer
Create an MxFitFunctionRow Object
Rename MxModel or a Submodel
DZ opposite sex data
Save End State to Checkpoint File
Freeze model
imxInitModel
imxExtractSlot
MxBaseNamed
imxReplaceMethod
imxReverseIdentifier
Matrix exponential
imxFilterDefinitionVariables
imxFilterDefinitionVariables
MxInterval
imxIsPath
imxUntitledName
Like simplify2array but works with vectors of different lengths
MxModel Class
omxNameAnonymousParameters
omxNameAnonymousParameters
MxConstraint Class
MxMatrix Class
Create MxAlgebra Object
omxNormalQuantiles
Optimize parameters using the Newton-Raphson algorithm
MxRAMGraph
Inverse Strict Half-vectorization
imxLocateIndex
List Currently Available Model Types
Aggregate fit statistics from multiple submodels
MxOptionalCharOrNumber-class
A character, integer, or NULL
Assign Model Parameters
On-Demand Parallel Apply
Inverse Half-vectorization
Approximate Equality Testing Function
omxCheckWithinPercentError
Approximate Percent Equality Testing Function
MxRAMModel
imxModelBuilder
Create MxExpectationNormal Object
Named Entities
imxLookupSymbolTable
MxMatrix operations
imxSeparatorChar
Make multiple attempts to run a model
Example data with autoregressively related columns
imxPPML.Test.Battery
DZ Male data
numeric Hessian data 1
mxExpectationStateSpaceContinuousTime
Create an MxExpectationStateSpace Object
Example regression data with correlated predictors
mxMakeNames
omxQuotes
Example Factor Analysis Data for Scaling the Model
OpenMx: An package for Structural Equation Modeling and Matrix Algebra Optimization
Example 500-row dataset with 12 generated variables
An optional list
An optional matrix
genericFitDependencies,MxBaseFitFunction-method
Add dependencies
imxConstraintRelations
imxSquareMatrix
Deparse for MxObjects
Internal OpenMx algebra operations
Vectorize By Row
Create MxFitFunctionML Object
Demonstration data for a two factor model
imxExtractNames
imxCheckVariables
imxConvertIdentifier
imxUpdateModelValues
Create Diagonal Matrix From Vector
Compute something once
Equality Testing Function
Are submodels dependence?
Create MxFitFunctionAlgebra Object
Data for a growth mixture model
Create MxExpectationLISREL Object
Strict Half-vectorization
imxConvertLabel
imxDetermineDefaultOptimizer
imxDetermineDefaultOptimizer
Extract Diagonal of a Matrix
Estimate Kalman scores and error covariance matrices
imxGenerateNamespace
Half-vectorization
Are submodels independent?
imxPPML.Test.Test
imxVariableTypes
imxModelTypes
imxHasNPSOL
Set difference on regular types or S4 objects
DEPRECATED: Create MxMLObjective Object
Summarize Model Parameters
Set or Clear an Optimizer Option
omxGetRAMDepth
imxOriginalMx
MZ Male example data
imxEvalByName
imxVerifyName
Optimize parameters using a gradient descent optimizer
imxGenericModelBuilder
Send a Model to the Optimizer
Assign First Available Values to Model Parameters
Reset global options to the default
imxIdentifier
Create MxData Object for Least Squares (WLS, DLS, ULS) Analyses
Create MxBounds Object
Matrix logarithm
DEPRECATED: Create MxFIMLObjective Object
Data for a growth mixture model with the true class membership
Replace parts of a model
Create an MxExpectationRAM Object
Fail-safe Factors
imxGetSlotDisplayNames
MZ female example twin data
Test thread-safe output code
Estimate Modification Indices for MxModel Objects
Returns Current Version String
numeric Hessian data 2
Multivariate Normal Integration
Report derivatives
Australian twin sample biometric data.
imxSimpleRAMPredicate
All Interval Multivariate Normal Integration
Fetch Model Parameters
DEPRECATED: Create MxAlgebraObjective Object
Create MxFitFunctionGREML Object
Compute the quality of the Hessian
Helper Function for Structuring GREML Data
Standardize RAM models' path coefficients
Correct Error Message Function
Set Equality Testing Function
Filter rows and columns from an mxMatrix
Create Reference (Saturated and Independence) Models
Repeatedly invoke a series of compute objects until change is less than tolerance
DEPRECATED: Create MxRowObjective Object
omxConstrainMLThresholds
omxGetNPSOL
Compute standard errors given the Hessian or inverse Hessian
An optional logical
omxRAMtoML
Create an MxExpectationStateSpace Object
Create dynamic data
Create MxFitFunctionR Object
Extract the component from a model's expectation
Create List of Thresholds
Logical mxAlgebra() operators
Model Summary
Twin data from a nuclear family design
Data for ordinal twin model
Twin data on weight and height
Create MxModel Object
Create static data
Meta Data for RAM
imxPreprocessModel
imxIsDefinitionVariable
imxSameType
imxReplaceSlot
imxUntitledNumberReset
Create mxCI Object
Data for multiple regression
mxComputeConfidenceInterval
Find likelihood-based confidence intervals
Assign Model Parameters
Invoke a series of compute objects in sequence
Compute nothing
Evaluate Values in MxModel
Create MxFitFunctionWLS Object
Create List of Paths
DEPRECATED: Create MxRObjective Object
Restore From Checkpoint File
Boolean Equality Testing Function
On-Demand Parallel Sapply
Get the RMSEA with confidence intervals from model
omxDetectCores
Exact Equality Testing Function
On-Demand Parallel Lapply
trace
Correct Warning Message Function
omxParallelCI