mvtnorm, numDeriv, roxygen2 (>= 6.1), Rmpi, rpf (>= 0.45),
snowfall, lme4

c(person(c("Steven", "M."), "Boker", role="aut"),
person(c("Michael", "C."), "Neale", role="aut"), person(c("Hermine", "H."),
"Maes", role="aut"), person(c("Michael", "J."), "Wilde", role="ctb"), person("Michael",
"Spiegel", role="aut"), person(c("Timothy", "R."), "Brick", role="aut"),
person("Ryne", "Estabrook", role="aut"), person(c("Timothy", "C."),
"Bates", role="aut"), person("Paras", "Mehta", role="ctb"), person("Timo", c("von",
"Oertzen"), role="ctb"), person(c("Ross", "J."), "Gore", role="aut"),
person(c("Michael", "D."), "Hunter", role="aut"), person(c("Daniel", "C."), "Hackett", role="ctb"),
person("Julian", "Karch", role="ctb"), person(c("Andreas", "M."), "Brandmaier", role="ctb"),
person(c("Joshua", "N."), "Pritikin", email="jpritikin@pobox.com",
role=c("aut", 'cre')), person("Mahsa", "Zahery", role="aut"),
person(c("Robert", "M."), "Kirkpatrick", role="aut"),
person(c("Yang"), "Wang", role="ctb"),
person(c("Charles"), "Driver", email="driver@mpib-berlin.mpg.de", role="ctb"),
person("Massachusetts Institute of Technology", role="cph"),
person("S. G.", "Johnson", role="cph"),
person("Association for Computing Machinery", role="cph"),
person("Dieter", "Kraft", role="cph"),
person("Stefan", "Wilhelm", role="cph"),
person("Sarah", "Medland", role="cph"),
person(c("Carl", 'F.'), "Falk", role="cph"),
person("Matt", "Keller", role="cph"),
person("Manjunath B G", role="cph"),
person("The Regents of the University of California", role="cph"),
person("Lester", "Ingber", role="cph"),
person("Wong", "Shao Voon", role="cph"),
person("Juan", "Palacios", role="cph"),
person("Jiang", "Yang", role="cph"),
person("Gavin", "Band", role="cph"),
person("Yann", "Collet", role="cph"),
person("Facebook, Inc.", role="cph"),
person("Yuta", "Mori", role="cph"),
person("Shaun", "Purcell", role="cph"),
person("Christopher", "Chang", role="cph"))
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>.
digest, MASS, Matrix, methods, Rcpp, parallel
'0ClassUnion.R' 'cache.R' 'MxBaseNamed.R' 'MxData.R'
'MxDataWLS.R' 'DefinitionVars.R' 'MxReservedNames.R'
'MxNamespace.R' 'MxSearchReplace.R' 'MxFlatSearchReplace.R'
'MxUntitled.R' 'MxAlgebraFunctions.R' 'MxExponential.R'
'MxMatrix.R' 'DiagMatrix.R' 'FullMatrix.R' 'IdenMatrix.R'
'LowerMatrix.R' 'SdiagMatrix.R' 'StandMatrix.R' 'SymmMatrix.R'
'UnitMatrix.R' 'ZeroMatrix.R' 'MxMatrixFunctions.R'
'MxAlgebra.R' 'MxCycleDetection.R' 'MxDependencies.R'
'MxAlgebraConvert.R' 'MxAlgebraTransform.R' 'MxSquareBracket.R'
'MxEval.R' 'MxRename.R' 'MxPath.R' 'MxObjectiveMetaData.R'
'MxRAMMetaData.R' 'MxExpectation.R' 'MxExpectationNormal.R'
'MxExpectationRAM.R' 'MxExpectationLISREL.R' 'MxFitFunction.R'
'MxFitFunctionAlgebra.R' 'MxFitFunctionML.R'
'MxFitFunctionMultigroup.R' 'MxFitFunctionRow.R'
'MxFitFunctionWLS.R' 'MxRAMObjective.R' 'MxLISRELObjective.R'
'MxFIMLObjective.R' 'MxMLObjective.R' 'MxRowObjective.R'
'MxAlgebraObjective.R' 'MxBounds.R' 'MxConstraint.R'
'MxInterval.R' 'MxTypes.R' 'MxCompute.R' 'MxModel.R'
'MxRAMModel.R' 'MxLISRELModel.R' 'MxModelDisplay.R'
'MxFlatModel.R' 'MxMultiModel.R' 'MxModelFunctions.R'
'MxModelParameters.R' 'MxUnitTesting.R' 'MxApply.R' 'MxRun.R'
'MxRunHelperFunctions.R' 'MxSummary.R' 'MxCompare.R'
'MxSwift.R' 'MxOptions.R' 'MxThreshold.R' 'OriginalMx.R'
'MxGraph.R' 'MxGraphviz.R' 'MxDeparse.R' 'MxCommunication.R'
'MxRestore.R' 'MxVersion.R' 'MxPPML.R' 'MxRAMtoML.R' 'MxDiff.R'
'MxErrorHandling.R' 'MxDetectCores.R' 'MxSaturatedModel.R'
'omxBrownie.R' 'omxConstrainThresholds.R' 'omxGetNPSOL.R'
'MxFitFunctionR.R' 'MxRObjective.R'
'MxExpectationHiddenMarkov.R' 'MxExpectationMixture.R'
'MxExpectationStateSpace.R' 'MxExpectationBA81.R'
'MxFitFunctionGREML.R' 'MxExpectationGREML.R' 'MxMI.R'
'MxFactorScores.R' 'MxRobustSE.R' 'MxAvailableOptimizers.R'
'MxTryHard.R' 'MxSE.R' 'MxAutoStart.R' 'MxRetro.R' 'MxMMI.R'
'omxReadGRMBin.R' 'zzz.R'
Steven M. Boker [aut],
Michael C. Neale [aut],
Hermine H. Maes [aut],
Michael J. Wilde [ctb],
Michael Spiegel [aut],
Timothy R. Brick [aut],
Ryne Estabrook [aut],
Timothy C. Bates [aut],
Paras Mehta [ctb],
Timo von Oertzen [ctb],
Ross J. Gore [aut],
Michael D. Hunter [aut],
Daniel C. Hackett [ctb],
Julian Karch [ctb],
Andreas M. Brandmaier [ctb],
Joshua N. Pritikin [aut, cre],
Mahsa Zahery [aut],
Robert M. Kirkpatrick [aut],
Yang Wang [ctb],
Charles Driver [ctb],
Massachusetts Institute of Technology [cph],
S. G. Johnson [cph],
Association for Computing Machinery [cph],
Dieter Kraft [cph],
Stefan Wilhelm [cph],
Sarah Medland [cph],
Carl F. Falk [cph],
Matt Keller [cph],
Manjunath B G [cph],
The Regents of the University of California [cph],
Lester Ingber [cph],
Wong Shao Voon [cph],
Juan Palacios [cph],
Jiang Yang [cph],
Gavin Band [cph],
Yann Collet [cph],
Facebook, Inc. [cph],
Yuta Mori [cph],
Shaun Purcell [cph],
Christopher Chang [cph]