{
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  "Package": "simStateSpace",
  "Title": "Simulate Data from State Space Models",
  "Version": "1.2.17",
  "Authors@R": "c(\nperson(given = \"Ivan Jacob Agaloos\",\nfamily = \"Pesigan\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"r.jeksterslab@gmail.com\",\ncomment = c(ORCID = \"0000-0003-4818-8420\")),\nperson(given = \"Michael A.\",\nfamily = \"Russell\",\nrole = \"ctb\",\nemail = \"mar60@psu.edu\",\ncomment = c(ORCID = \"0000-0002-3956-604X\")),\nperson(given = \"Sy-Miin\",\nfamily = \"Chow\",\nrole = \"ctb\",\nemail = \"quc16@psu.edu\",\ncomment = c(ORCID = \"0000-0003-1938-027X\"))\n)",
  "Description": "Provides a streamlined and user-friendly framework for\nsimulating data in state space models, particularly when the\nnumber of subjects/units (n) exceeds one, a scenario commonly\nencountered in social and behavioral sciences. This package was\ndesigned to generate data for the simulations performed in\nPesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.",
  "URL": "https://github.com/jeksterslab/simStateSpace,\nhttps://jeksterslab.github.io/simStateSpace/",
  "BugReports": "https://github.com/jeksterslab/simStateSpace/issues",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
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  "Repository": "https://jeksterslab.r-universe.dev",
  "Date/Publication": "2026-10-18 04:04:37 UTC",
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  "Author": "Ivan Jacob Agaloos Pesigan [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-4818-8420>),\nMichael A. Russell [ctb] (ORCID:\n<https://orcid.org/0000-0002-3956-604X>),\nSy-Miin Chow [ctb] (ORCID: <https://orcid.org/0000-0003-1938-027X>)",
  "Maintainer": "Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>",
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  "_expires": "2027-01-26T06:55:11.000Z",
  "_created": "2026-10-18T06:37:33.000Z",
  "_published": "2026-10-18T06:55:16.644Z",
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    "CompanionMat",
    "CTVAR2SSM",
    "ExpMat",
    "LinSDE2SSM",
    "LinSDECovDeltaT",
    "LinSDECovEta",
    "LinSDECovY",
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    "LinSDEMeanEta",
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    "ProjectToHurwitz",
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    "SimBetaN",
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    "SimBetaNCovariate",
    "SimCovDiagN",
    "SimCovN",
    "SimIotaN",
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    "SimMVN",
    "SimNuN",
    "SimPhiN",
    "SimPhiN2",
    "SimPhiNCovariate",
    "SimSSMFixed",
    "SimSSMIVary",
    "SimSSMLinGrowth",
    "SimSSMLinGrowthIVary",
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    "SimSSMLinSDEIVary",
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    "SimSSMOUIVary",
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    "SimSSMVARIVary",
    "SpectralAbscissa",
    "SpectralRadius",
    "SSM2LinSDE",
    "SSMCovEta",
    "SSMCovY",
    "SSMInterceptEta",
    "SSMInterceptY",
    "SSMMeanEta",
    "SSMMeanY",
    "TestPhi",
    "TestPhiHurwitz",
    "TestStability",
    "TestStationarity"
  ],
  "_help": [
    {
      "page": "as.data.frame.simstatespace",
      "title": "Coerce an Object of Class 'simstatespace' to a Data Frame",
      "topics": [
        "as.data.frame.simstatespace"
      ]
    },
    {
      "page": "as.matrix.simstatespace",
      "title": "Coerce an Object of Class 'simstatespace' to a Matrix",
      "topics": [
        "as.matrix.simstatespace"
      ]
    },
    {
      "page": "CompanionMat",
      "title": "Create a Block Companion Matrix",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "CompanionMat"
      ]
    },
    {
      "page": "CTVAR2SSM",
      "title": "Convert CTVAR Parameters to State Space Parameters",
      "concept": [
        "Parameter Transformation Functions"
      ],
      "topics": [
        "CTVAR2SSM"
      ]
    },
    {
      "page": "ExpMat",
      "title": "Matrix Exponential",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "ExpMat"
      ]
    },
    {
      "page": "LinSDE2SSM",
      "title": "Convert Linear SDE Parameters to State Space Parameters",
      "concept": [
        "Parameter Transformation Functions"
      ],
      "topics": [
        "LinSDE2SSM"
      ]
    },
    {
      "page": "LinSDECovDeltaT",
      "title": "Interval Covariance Matrix in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDECovDeltaT"
      ]
    },
    {
      "page": "LinSDECovEta",
      "title": "Steady-State Covariance Matrix for the Latent Variables in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDECovEta"
      ]
    },
    {
      "page": "LinSDECovY",
      "title": "Steady-State Covariance Matrix for the Observed Variables in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDECovY"
      ]
    },
    {
      "page": "LinSDEInterceptEta",
      "title": "Intercept from Steady-State Mean Vector for the Latent Variables in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDEInterceptEta"
      ]
    },
    {
      "page": "LinSDEInterceptY",
      "title": "Intercept from Steady-State Mean Vector for the Observed Variables in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDEInterceptY"
      ]
    },
    {
      "page": "LinSDEMeanEta",
      "title": "Steady-State Mean Vector for the Latent Variables in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDEMeanEta"
      ]
    },
    {
      "page": "LinSDEMeanY",
      "title": "Steady-State Mean Vector for the Observed Variables in the Linear Stochastic Differential Equation Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LinSDEMeanY"
      ]
    },
    {
      "page": "LogMat",
      "title": "Matrix Logarithm",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "LogMat"
      ]
    },
    {
      "page": "plot.simstatespace",
      "title": "Plot Method for an Object of Class 'simstatespace'",
      "topics": [
        "plot.simstatespace"
      ]
    },
    {
      "page": "print.simstatespace",
      "title": "Print Method for an Object of Class 'simstatespace'",
      "topics": [
        "print.simstatespace"
      ]
    },
    {
      "page": "ProjectToHurwitz",
      "title": "Project Matrix to Hurwitz Stability",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "ProjectToHurwitz"
      ]
    },
    {
      "page": "ProjectToStability",
      "title": "Project Matrix to Stability",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "ProjectToStability"
      ]
    },
    {
      "page": "SimAlphaN",
      "title": "Simulate Intercept Vectors in a Discrete-Time Vector Autoregressive Model from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimAlphaN"
      ]
    },
    {
      "page": "SimBetaN",
      "title": "Simulate Transition Matrices from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimBetaN"
      ]
    },
    {
      "page": "SimBetaN2",
      "title": "Simulate Transition Matrices from the Multivariate Normal Distribution and Project to Stability",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimBetaN2"
      ]
    },
    {
      "page": "SimBetaNCovariate",
      "title": "Simulate Transition Matrices with a Covariate from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimBetaNCovariate"
      ]
    },
    {
      "page": "SimCovDiagN",
      "title": "Simulate Diagonal Covariance Matrices from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimCovDiagN"
      ]
    },
    {
      "page": "SimCovN",
      "title": "Simulate Covariance Matrices from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimCovN"
      ]
    },
    {
      "page": "SimIotaN",
      "title": "Simulate Intercept Vectors in a Continuous-Time Vector Autoregressive Model from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimIotaN"
      ]
    },
    {
      "page": "SimMuN",
      "title": "Simulate Set Point Vectors from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimMuN"
      ]
    },
    {
      "page": "SimMVN",
      "title": "Simulate Vectors from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimMVN"
      ]
    },
    {
      "page": "SimNuN",
      "title": "Simulate Intercept Vectors in a Discrete-Time Vector Autoregressive Model from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimNuN"
      ]
    },
    {
      "page": "SimPhiN",
      "title": "Simulate Random Drift Matrices from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimPhiN"
      ]
    },
    {
      "page": "SimPhiN2",
      "title": "Simulate Random Drift Matrices from the Multivariate Normal Distribution and Project to Hurwitz",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimPhiN2"
      ]
    },
    {
      "page": "SimPhiNCovariate",
      "title": "Simulate Random Drift Matrices with a Covariate from the Multivariate Normal Distribution",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimPhiNCovariate"
      ]
    },
    {
      "page": "SimSSMFixed",
      "title": "Simulate Data from a State Space Model (Fixed Parameters)",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimSSMFixed"
      ]
    },
    {
      "page": "SimSSMIVary",
      "title": "Simulate Data from a State Space Model (Individual-Varying Parameters)",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimSSMIVary"
      ]
    },
    {
      "page": "SimSSMLinGrowth",
      "title": "Simulate Data from the Linear Growth Curve Model",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimSSMLinGrowth"
      ]
    },
    {
      "page": "SimSSMLinGrowthIVary",
      "title": "Simulate Data from the Linear Growth Curve Model (Individual-Varying Parameters)",
      "concept": [
        "Simulation of State Space Models Data Functions"
      ],
      "topics": [
        "SimSSMLinGrowthIVary"
      ]
    },
    {
      "page": "SimSSMLinSDEFixed",
      "title": "Simulate Data from the Linear Stochastic Differential Equation Model using a State Space Model Parameterization (Fixed Parameters)",
      "concept": [
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