OpenMx2.21.12 package

Extended Structural Equation Modelling

factorScaleExample1_data

Example Factor Analysis Data for Scaling the Model

mxMarginalNegativeBinomial

Indicator with marginal Negative Binomial distribution

mxMarginalPoisson

Indicator with marginal Poisson distribution

MxMatrix-class

MxMatrix Class

mxMatrix

Create MxMatrix Object

mxMI

Estimate Modification Indices for MxModel Objects

mxMLObjective

DEPRECATED: Create MxMLObjective Object

MxMMI

Information-Theoretic Model-Averaging and Multimodel Inference

MxModel-class

MxModel Class

mxModel

Create MxModel Object

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 b...

mxPath

Create List of Paths

myRegDataRaw_data

Example regression data with correlated predictors

omxApply

On-Demand Parallel Apply

imxGetSlotDisplayNames

imxGetSlotDisplayNames

imxHasConstraint

imxHasConstraint

imxHasDefinitionVariable

imxHasDefinitionVariable

imxHasNPSOL

imxHasNPSOL

imxHasOpenMP

imxHasOpenMP

imxHasThresholds

imxHasThresholds

imxHasWLS

imxHasWLS

imxIdentifier

imxIdentifier

imxIndependentModels

Are submodels independent?

imxInitModel

imxInitModel

imxIsDefinitionVariable

imxIsDefinitionVariable

imxIsMultilevel

imxIsMultilevel

imxIsPath

imxIsPath

imxIsStateSpace

imxIsStateSpace

imxLocateFunction

imxLocateFunction

imxLocateIndex

imxLocateIndex

imxLocateLabel

imxLocateLabel

imxLog

Test thread-safe output code

imxLookupSymbolTable

imxLookupSymbolTable

imxModelBuilder

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

omxCheckNamespace

omxCheckNamespace

imxCreateMatrix

Create a matrix

expm

Matrix exponential

imxDataTypes

Valid types of data that can be contained by MxData

imxDefaultGetSlotDisplayNames

imxDefaultGetSlotDisplayNames

imxDeparse

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

imxGetNumThreads

imxGetNumThreads

omxGetBootstrapReplications

omxGetBootstrapReplications

omxGetNPSOL

omxGetNPSOL

imxVariableTypes

imxVariableTypes

imxVerifyMatrix

imxVerifyMatrix

imxVerifyModel

imxVerifyModel

imxVerifyName

imxVerifyName

imxVerifyReference

imxVerifyReference

omxParallelCI

Calculate confidence intervals without re-doing the primary optimizati...

omxQuotes

omxQuotes

omxRAMtoML

omxRAMtoML

omxReadGRMBin

Read a GCTA-Format Binary GRM into R.

as.statusCode

Convert a numeric or character vector into an optimizer status code fa...

BaseCompute-class

BaseCompute

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

DiscreteBase-class

An S4 base class for discrete marginal distributions

factorExample1_data

Example Factor Analysis Data

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

factorScaleExample2_data

Example Factor Analysis Data for Scaling the Model

genericFitDependencies-MxBaseFitFunction-method

Add dependencies

HS.ability.data

Holzinger & Swineford (1939) Ability in 301 children from 2 schools

imxAddDependency

Add a dependency

imxAutoOptionValue

imxAutoOptionValue

imxCheckMatrices

imxCheckMatrices

imxCheckVariables

imxCheckVariables

imxConDecMatrixSlots

Condense/de-condense slots of an MxMatrix

imxConstraintRelations

imxConstraintRelations

imxConvertIdentifier

imxConvertIdentifier

imxConvertLabel

imxConvertLabel

imxConvertSubstitution

imxConvertSubstitution

imxRobustSE

imxRobustSE

imxRowGradients

imxRowGradients

imxSameType

imxSameType

imxSeparatorChar

imxSeparatorChar

imxSfClient

imxSfClient

imxSimpleRAMPredicate

imxSimpleRAMPredicate

imxSparseInvert

Sparse symmetric matrix invert

imxSquareMatrix

imxSquareMatrix

imxSymmetricMatrix

imxSymmetricMatrix

imxTypeName

imxTypeName

imxUntitledName

imxUntitledName

imxUntitledNumber

imxUntitledNumber

imxUntitledNumberReset

imxUntitledNumberReset

imxUpdateModelValues

imxUpdateModelValues

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

mxFitFunctionMultigroup

Create a fit function used to fit multiple-group models

lazarsfeld_data

Respondent-soldiers on four dichotomous items

logm

Matrix logarithm

multiData1_data

Data for multiple regression

MxAlgebra-class

MxAlgebra Class

mxAlgebra

Create MxAlgebra Object

MxAlgebraFormula-class

MxAlgebraFormula

mxAlgebraFromString

Create MxAlgebra object from a string

mxAlgebraObjective

DEPRECATED: Create MxAlgebraObjective Object

mxLISRELObjective

Create MxLISRELObjective Object

MxListOrNull-class

An optional list

mxMakeNames

mxMakeNames

mxAutoStart

Automatically set starting values for an MxModel

mxAvailableOptimizers

mxAvailableOptimizers

MxBaseExpectation-class

MxBaseExpectation

MxBaseFitFunction-class

MxBaseFitFunction

MxBaseNamed-class

MxBaseNamed

MxBaseObjectiveMetaData-class

MxBaseObjectiveMetaData

mxBootstrap

Repeatedly estimate model using resampling with replacement

mxBootstrapEval

Evaluate Values in a bootstrapped MxModel

mxBootstrapStdizeRAMpaths

Bootstrap distribution of standardized RAM path coefficients

MxBounds-class

MxBounds Class

mxBounds

Create MxBounds Object

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-class

MxCI Class

mxCI

Create mxCI Object

MxCompare-class

The MxCompare Class

mxCompare

Likelihood ratio test

MxCompute-class

MxCompute

mxComputeBootstrap

Repeatedly estimate model using resampling with replacement

mxComputeJacobian

Numerically estimate the Jacobian with respect to free parameters

mxComputeCheckpoint

Log parameters and state to disk or memory

mxComputeConfidenceInterval

Find likelihood-based confidence intervals

mxComputeDefault

Default compute plan

mxComputeEM

Fit a model using DLR's (1977) Expectation-Maximization (EM) algorithm

mxComputeGenerateData

Generate data

mxComputeGradientDescent

Optimize parameters using a gradient descent optimizer

mxComputeHessianQuality

Compute the quality of the Hessian

mxComputeIterate

Repeatedly invoke a series of compute objects until change is less tha...

mxComputeLoadContext

Load contextual data to supplement checkpoint

mxComputeLoadData

Load columns into an MxData object

mxComputeLoadMatrix

Load data from CSV files directly into the backend

mxComputeLoop

Repeatedly invoke a series of compute objects

mxComputeNelderMead

Optimize parameters using a variation of the Nelder-Mead algorithm.

mxComputeNewtonRaphson

Optimize parameters using the Newton-Raphson algorithm

mxComputeNothing

Compute nothing

mxComputeNumericDeriv

Numerically estimate Hessian using Richardson extrapolation

MxFitFunctionGREML-class

Class "MxFitFunctionGREML"

mxComputeOnce

Compute something once

mxComputePenaltySearch

Regularize parameter estimates

mxComputeReportDeriv

Report derivatives

mxComputeReportExpectation

Report expectation

mxComputeSequence

Invoke a series of compute objects in sequence

mxComputeSetOriginalStarts

Reset parameter starting values

mxComputeSimAnnealing

Optimization using generalized simulated annealing

mxComputeStandardError

Compute standard errors

mxComputeTryCatch

Execute a sub-compute plan, catching errors

mxFitFunctionGREML

Create MxFitFunctionGREML Object

mxFitFunctionML

Create MxFitFunctionML Object

mxSimplify2Array

Like simplify2array but works with vectors of different lengths

mxComputeTryHard

Repeatedly attempt a compute plan until successful

MxConstraint-class

Class "MxConstraint"

mxConstraint

Create MxConstraint Object

MxData-class

MxData Class

mxData

Create MxData Object

mxDataDynamic

Create dynamic data

MxDataStatic-class

Create static data

mxDataWLS

Create legacy MxData Object for Least Squares (WLS, DWLS, ULS) Analyse...

mxDescribeDataWLS

Determine whether a dataset will have weights and summary statistics f...

MxDirectedGraph-class

MxDirectedGraph

mxEval

Evaluate Values in MxModel

mxEvaluateOnGrid

Evaluate an algebra on an abscissa grid and collect column results

mxExpectationBA81

Create a Bock & Aitkin (1981) expectation

MxExpectationGREML-class

Class "MxExpectationGREML"

mxExpectationGREML

Create MxExpectationGREML Object

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

MxExpectationXclass

MxExpectation

mxFactor

Fail-safe Factors

mxFactorScores

Estimate factor scores and standard errors

mxFIMLObjective

DEPRECATED: Create MxFIMLObjective Object

MxFitFunction-class

MxFitFunction

mxFitFunctionAlgebra

Create MxFitFunctionAlgebra Object

mxFitFunctionR

Create MxFitFunctionR Object

mxFitFunctionRow

Create an MxFitFunctionRow Object

mxFitFunctionWLS

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-class

MxInterval

mxJiggle

Jiggle parameter values.

mxKalmanScores

Estimate Kalman scores and error covariance matrices

MxLISRELModel-class

MxLISRELModel

mxPearsonSelCov

Perform Pearson Aitken selection

MxPenalty-class

MxPenalty

mxPenalty

This function creates a penalty object

mxPenaltyElasticNet

mxPenaltyElasticNet

mxPenaltyLASSO

mxPenaltyLASSO

mxPenaltyRidge

mxPenaltyRidge

mxTryHard

Make multiple attempts to run a model

mxPenaltySearch

mxPenaltySearch

mxPenaltyZap

mxPenaltyZap

mxPower

Power curve

MxRAMGraph-class

MxRAMGraph

MxRAMModel-class

MxRAMModel

mxRAMObjective

DEPRECATED: Create MxRAMObjective Object

mxRename

Rename a model or submodel

mxStandardizeRAMpaths

Standardize RAM models' path coefficients

mxThreshold

Create List of Thresholds

mxTypes

List Currently Available Model Types

mxRestore

Restore model state from a checkpoint file

mxRetro

Return random classic Mx error message

mxRObjective

DEPRECATED: Create MxRObjective 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

mxVersion

Returns Current Version String

MxVersionType-class

A package_version or character

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 membership

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

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

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

omxAssignFirstParameters

Assign First Available Values to Model Parameters

omxAugmentDataWithWLSSummary

Estimate summary statistics used by the WLS fit function

omxBrownie

Make Brownies in OpenMx

omxBuildAutoStartModel

Build the model used for mxAutoStart

omxCheckCloseEnough

Approximate Equality Testing Function

omxCheckEquals

Equality Testing Function

omxCheckError

Correct Error Message Function

omxCheckIdentical

Exact Equality Testing Function

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

omxGetParameters

Fetch Model Parameters

omxGetRAMDepth

omxGetRAMDepth

omxGraphviz

Show RAM Model in Graphviz Format

omxHasDefaultComputePlan

omxHasDefaultComputePlan

omxLapply

On-Demand Parallel Lapply

omxLocateParameters

Get the location (model, matrix, row, column) and other info for a par...

omxRMSEA

Get the RMSEA with confidence intervals from model

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

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

OpenMx

OpenMx: An package for Structural Equation Modeling and Matrix Algebra...

Oscillator_data

Oscillator Data for Latent Differential Equations

vechs

Strict Half-vectorization

predict.MxModel

predict method for MxModel objects

rvectorize

Vectorize By Row

summary.MxModel

Model Summary

tr

trace

twin_NA_dot_data

Twin biometric data (Practice cleaning: "." for missing data, wrong da...

vec2diag

Create Diagonal Matrix From Vector

vech

Half-vectorization

vech2full

Inverse Half-vectorization

vechs2full

Inverse Strict Half-vectorization

Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <http://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.

  • Maintainer: Joshua N. Pritikin
  • License: Apache License (== 2.0)
  • Last published: 2024-08-17