{
  "_id": "6a27afcf24555f66ed53543b",
  "Package": "popdemo",
  "Title": "Demographic Modelling Using Projection Matrices",
  "Version": "1.3-3",
  "Authors@R": "c(person(\"Iain\", \"Stott\", email = \"iainmstott@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Dave\", \"Hodgson\", email = \"D.J.Hodgson@exeter.ac.uk\", role = \"aut\"),\nperson(\"Stuart\", \"Townley\", email = \"S.B.Townley@exeter.ac.uk\", role = \"aut\"),\nperson(\"Stephen\", \"Ellner\", email = \"spe2@cornell.edu\", role = \"ctb\"))",
  "Maintainer": "Iain Stott <iainmstott@gmail.com>",
  "Description": "Tools for modelling populations and demography using\nmatrix projection models, with deterministic and stochastic\nmodel implementations. Includes population projection, indices\nof short- and long-term population size and growth,\nperturbation analysis, convergence to stability or\nstationarity, and diagnostic and manipulation tools.",
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  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-09 05:49:06 UTC",
    "User": "root"
  },
  "Author": "Iain Stott [aut, cre], Dave Hodgson [aut], Stuart Townley\n[aut], Stephen Ellner [ctb]",
  "Repository": "https://iainmstott.r-universe.dev",
  "Date/Publication": "2026-03-09 15:30:10 UTC",
  "RemoteUrl": "https://github.com/cran/popdemo",
  "RemoteRef": "HEAD",
  "RemoteSha": "0d8854c7a49592859dc4a4c788bef4010125543b",
  "MD5sum": "ebb970ffb58c358c363284971d39e86c",
  "_user": "iainmstott",
  "_type": "src",
  "_file": "popdemo_1.3-3.tar.gz",
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  "_created": "2026-06-09T05:49:06.000Z",
  "_published": "2026-06-09T06:16:47.019Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/iainmstott/actions/runs/27085828689",
  "_status": "failure",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/popdemo",
  "_commit": {
    "id": "0d8854c7a49592859dc4a4c788bef4010125543b",
    "author": "Iain Stott <iainmstott@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.3-3\n",
    "time": 1773070210
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  "_maintainer": {
    "name": "Iain Stott",
    "email": "iainmstott@gmail.com",
    "login": "iainmstott",
    "description": "iain ~ ecology*maths*stats + (equality|queer), data = '@compadredb', method = 'R', family = c(@unilincoln, @BritishEcolSoc\n)",
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    "name": "Iain Stott",
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/popdemo.html",
    "manual.pdf"
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  "_realowner": "iainmstott",
  "_cranurl": false,
  "_releases": [
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      "version": "0.1-1",
      "date": "2011-12-19"
    },
    {
      "version": "0.1-2",
      "date": "2012-01-18"
    },
    {
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      "date": "2018-03-17"
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      "date": "2025-04-11"
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      "date": "2026-03-09"
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  "_exports": [
    "Aseq",
    "blockmatrix",
    "bounds",
    "Cohen.cumulative",
    "CohenD",
    "convergence.time",
    "convt",
    "dr",
    "eigs",
    "elas",
    "firststepatt",
    "inertia",
    "inertia.tfa",
    "inertia.tfamatrix",
    "inertia.tfsens",
    "inertia.tfsensmatrix",
    "is.matrix_ergodic",
    "is.matrix_irreducible",
    "is.matrix_primitive",
    "isErgodic",
    "isIrreducible",
    "isPrimitive",
    "Keyfitz.delta",
    "KeyfitzD",
    "Kreiss",
    "mat",
    "Matlab2R",
    "maxamp",
    "maxatt",
    "minCS",
    "nmat",
    "nproj",
    "ntime",
    "plot",
    "project",
    "Projection",
    "projection.distance",
    "projectionD",
    "projtype",
    "R2Matlab",
    "reac",
    "reactivity",
    "sens",
    "show",
    "stoch",
    "tfa",
    "tfa_inertia",
    "tfa_lambda",
    "tfam_inertia",
    "tfam_lambda",
    "tfamatrix",
    "tfs_inertia",
    "tfs_lambda",
    "tfsens",
    "tfsensmatrix",
    "tfsm_inertia",
    "tfsm_lambda",
    "truelambda",
    "vec",
    "vectype"
  ],
  "_datasets": [
    {
      "name": "Pbear",
      "title": "Polar bear matrices",
      "object": "Pbear",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "Tort",
      "title": "Desert tortoise matrix",
      "object": "Tort",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "Yr",
        "J1",
        "J2",
        "I1",
        "I2",
        "SA",
        "A1",
        "A2"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "popdemo-package",
      "title": "Provides tools for demographic modelling using projection matrices",
      "topics": [
        "popdemo-package",
        "popdemo"
      ]
    },
    {
      "page": "blockmatrix",
      "title": "Block-permute a reducible matrix",
      "concept": [
        "conjugate",
        "conjugation",
        "irreducible",
        "permutation",
        "permute",
        "reducible",
        "submatrix"
      ],
      "topics": [
        "blockmatrix"
      ]
    },
    {
      "page": "CohenD",
      "title": "Calculate Cohen's cumulative distance",
      "concept": [
        "DistanceMeasures",
        "distance",
        "state space",
        "vector"
      ],
      "topics": [
        "CohenD"
      ]
    },
    {
      "page": "convt",
      "title": "Calculate time to convergence",
      "concept": [
        "ConvergenceMeasures",
        "converge",
        "convergence",
        "project",
        "projection"
      ],
      "topics": [
        "convt"
      ]
    },
    {
      "page": "dr",
      "title": "Calculate damping ratio",
      "concept": [
        "ConvergenceMeasures",
        "converge",
        "convergence",
        "resilience",
        "return time",
        "stability"
      ],
      "topics": [
        "dr"
      ]
    },
    {
      "page": "eigs",
      "title": "Calculate asymptotic growth",
      "concept": [
        "Eigenstuff",
        "GrowthMeasures",
        "asymptotic",
        "eigenvalues",
        "growth",
        "population structure",
        "reproductive value",
        "stable"
      ],
      "topics": [
        "eigs"
      ]
    },
    {
      "page": "elas",
      "title": "Calculate elasticity matrix",
      "concept": [
        "PerturbationAnalyses",
        "elasticity",
        "perturbation",
        "sensitivity"
      ],
      "topics": [
        "elas"
      ]
    },
    {
      "page": "inertia",
      "title": "Calculate population inertia",
      "concept": [
        "TransientIndices",
        "amplification",
        "attenuation",
        "compensation",
        "instability",
        "population structure",
        "resilience",
        "resistance",
        "stable equivalent ratio",
        "transient dynamics",
        "unstable"
      ],
      "topics": [
        "inertia"
      ]
    },
    {
      "page": "isErgodic",
      "title": "Determine ergodicity of a matrix",
      "concept": [
        "Perron Frobenius",
        "PerronFrobeniusDiagnostics",
        "ergodic",
        "ergodicity",
        "nonergodic"
      ],
      "topics": [
        "isErgodic"
      ]
    },
    {
      "page": "isIrreducible",
      "title": "Determine reducibility of a matrix",
      "concept": [
        "Perron Frobenius",
        "PerronFrobeniusDiagnostics",
        "irreducible",
        "reducibility",
        "reducible"
      ],
      "topics": [
        "isIrreducible"
      ]
    },
    {
      "page": "isPrimitive",
      "title": "Determine primitivity of a matrix",
      "concept": [
        "Perron Frobenius",
        "PerronFrobeniusDiagnostics",
        "imprimitive",
        "primitive",
        "primitivity"
      ],
      "topics": [
        "isPrimitive"
      ]
    },
    {
      "page": "KeyfitzD",
      "title": "Calculate Keyfitz's delta",
      "concept": [
        "DistanceMeasures",
        "distance"
      ],
      "topics": [
        "KeyfitzD"
      ]
    },
    {
      "page": "Kreiss",
      "title": "Calculate Kreiss bounds",
      "concept": [
        "TransientIndices",
        "amplification",
        "attenuation",
        "instability",
        "systems control",
        "transient dynamics",
        "unstable"
      ],
      "topics": [
        "Kreiss"
      ]
    },
    {
      "page": "Matlab2R",
      "title": "Read Matlab style matrices into R",
      "concept": [
        "Matlab"
      ],
      "topics": [
        "Matlab2R"
      ]
    },
    {
      "page": "maxamp",
      "title": "Calculate maximal amplification",
      "concept": [
        "TransientIndices",
        "amplification",
        "compensation",
        "instability",
        "resilience",
        "transient dynamics",
        "unstable"
      ],
      "topics": [
        "maxamp"
      ]
    },
    {
      "page": "maxatt",
      "title": "Calculate maximal attenuation",
      "concept": [
        "TransientIndices",
        "attenuation",
        "instability",
        "resilience",
        "resistance",
        "transient dynamics",
        "unstable"
      ],
      "topics": [
        "maxatt"
      ]
    },
    {
      "page": "Pbear",
      "title": "Polar bear matrices",
      "concept": [
        "Ursus maritimus",
        "data",
        "polar bear"
      ],
      "topics": [
        "Pbear"
      ]
    },
    {
      "page": "plot.tfa",
      "title": "Plot transfer function",
      "concept": [
        "PVA",
        "demography",
        "ecology",
        "nonlinear",
        "perturbation",
        "population viability",
        "systems control",
        "transfer function"
      ],
      "topics": [
        "plot.tfa"
      ]
    },
    {
      "page": "plot.tfam",
      "title": "Plot transfer function",
      "concept": [
        "PVA",
        "demography",
        "ecology",
        "nonlinear",
        "perturbation",
        "population viability",
        "systems control",
        "transfer function"
      ],
      "topics": [
        "plot.tfam"
      ]
    },
    {
      "page": "popdemo-deprecated",
      "title": "Deprecated functions in the popdemo package",
      "topics": [
        "Cohen.cumulative",
        "Cohen.cumulative-deprecated",
        "convergence.time",
        "convergence.time-deprecated",
        "firststepatt",
        "firststepatt-deprecated",
        "inertia.tfa",
        "inertia.tfa-deprecated",
        "inertia.tfamatrix",
        "inertia.tfamatrix-deprecated",
        "inertia.tfsens",
        "inertia.tfsens-deprecated",
        "inertia.tfsensmatrix",
        "inertia.tfsensmatrix-deprecated",
        "is.matrix_ergodic",
        "is.matrix_ergodic-deprecated",
        "is.matrix_irreducible",
        "is.matrix_irreducible-deprecated",
        "is.matrix_primitive",
        "is.matrix_primitive-deprecated",
        "Keyfitz-delta-deprecated",
        "Keyfitz.delta",
        "minCS",
        "minCS-deprecated",
        "popdemo-deprecated",
        "projection.distance",
        "projection.distance-deprecated",
        "reactivity",
        "reactivity-deprecated",
        "tf",
        "tf-deprecated",
        "tfa",
        "tfa-deprecated",
        "tfamatrix",
        "tfamatrix-deprecated",
        "tfsens",
        "tfsens-deprecated",
        "tfsensmatrix",
        "tfsensmatrix-deprecated"
      ]
    },
    {
      "page": "project",
      "title": "Project population dynamics",
      "concept": [
        "projection project population"
      ],
      "topics": [
        "project"
      ]
    },
    {
      "page": "Projection-class",
      "title": "'Projection' object S4 class",
      "topics": [
        "Aseq",
        "Aseq,Projection-method",
        "bounds",
        "bounds,Projection-method",
        "mat",
        "mat,Projection-method",
        "nmat",
        "nmat,Projection-method",
        "nproj",
        "nproj,Projection-method",
        "ntime",
        "ntime,Projection-method",
        "Projection",
        "Projection-class",
        "projtype",
        "projtype,Projection-method",
        "show",
        "show,Projection-method",
        "vec",
        "vec,Projection-method",
        "vectype",
        "vectype,Projection-method"
      ]
    },
    {
      "page": "Projection-plots",
      "title": "Plot methods for 'Projection' objects",
      "topics": [
        "plot",
        "plot,Projection,missing-method",
        "Projection-plots"
      ]
    },
    {
      "page": "projectionD",
      "title": "Calculate projection distance",
      "concept": [
        "DistanceMeasures",
        "distance vector"
      ],
      "topics": [
        "projectionD"
      ]
    },
    {
      "page": "R2Matlab",
      "title": "Convert matrices into Matlab style strings",
      "concept": [
        "Matlab"
      ],
      "topics": [
        "R2Matlab"
      ]
    },
    {
      "page": "reac",
      "title": "Calculate reactivity and first-timestep attenuation",
      "concept": [
        "TransientIndices",
        "amplification",
        "compensation",
        "instability",
        "population structure",
        "resilience",
        "transient dynamics",
        "unstable"
      ],
      "topics": [
        "reac"
      ]
    },
    {
      "page": "sens",
      "title": "Calculate sensitivity matrix",
      "concept": [
        "PerturbationAnalyses",
        "elasticity",
        "perturbation",
        "sensitivity"
      ],
      "topics": [
        "sens"
      ]
    },
    {
      "page": "stoch",
      "title": "Project population dynamics",
      "concept": [
        "population",
        "project",
        "projection",
        "stochastic growth",
        "variance"
      ],
      "topics": [
        "stoch"
      ]
    },
    {
      "page": "tfa_inertia",
      "title": "Transfer function Analysis",
      "concept": [
        "PVA",
        "PerturbationAnalyses",
        "TransferFunctionAnalyses",
        "demography",
        "ecology",
        "nonlinear",
        "perturbation",
        "population",
        "population viability",
        "resilience",
        "systems control",
        "transfer function",
        "transient dynamics"
      ],
      "topics": [
        "tfa_inertia"
      ]
    },
    {
      "page": "tfa_lambda",
      "title": "Transfer function analysis",
      "concept": [
        "PVA",
        "PerturbationAnalyses",
        "TransferFunctionAnalyses",
        "demography",
        "ecology",
        "nonlinear",
        "perturbation",
        "population",
        "population viability",
        "systems control",
        "transfer function"
      ],
      "topics": [
        "tfa_lambda"
      ]
    },
    {
      "page": "tfam_inertia",
      "title": "Transfer function Analysis",
      "concept": [
        "PVA",
        "PerturbationAnalyses",
        "TransferFunctionAnalyses",
        "demography",
        "ecology",
        "nonlinear",
        "perturbation",
        "population",
        "population viability",
        "resilience",
        "systems control",
        "transfer function",
        "transient dynamics"
      ],
      "topics": [
        "tfam_inertia"
      ]
    },
    {
      "page": "tfam_lambda",
      "title": "Transfer function analysis",
      "concept": [
        "PVA",
        "PerturbationAnalyses",
        "TransferFunctionAnalyses",
        "demography",
        "ecology",
        "nonlinear",
        "perturbation",
        "population",
        "population viability",
        "systems control",
        "transfer function"
      ],
      "topics": [
        "tfam_lambda"
      ]
    },
    {
      "page": "tfs_inertia",
      "title": "Calculate sensitivity of inertia using transfer functions",
      "concept": [
        "PVA",
        "PerturbationAnalyses",
        "TransferFunctionAnalyses",
        "demography",
        "ecology",
        "perturbation",
        "population",
        "population viability",
        "resilience",
        "systems control",
        "transfer function",
        "transient dynamics"
      ],
      "topics": [
        "tfsm_inertia",
        "tfs_inertia"
      ]
    },
    {
      "page": "tfs_lambda",
      "title": "Calculate sensitivity using transfer functions",
      "concept": [
        "PVA",
        "PerturbationAnalyses",
        "TransferFunctionAnalyses",
        "demography",
        "ecology",
        "perturbation",
        "population",
        "population viability",
        "systems control",
        "transfer function"
      ],
      "topics": [
        "tfsm_lambda",
        "tfs_lambda"
      ]
    },
    {
      "page": "Tort",
      "title": "Desert tortoise matrix",
      "concept": [
        "Gopherus agassizzii",
        "data",
        "desert",
        "tortoise"
      ],
      "topics": [
        "Tort"
      ]
    },
    {
      "page": "truelambda",
      "title": "Calculate asymptotic growth",
      "concept": [
        "ConvergenceMeasures",
        "Perron Frobenius",
        "asymptotic growth",
        "ergodic",
        "nonergodic",
        "project",
        "projection"
      ],
      "topics": [
        "truelambda"
      ]
    }
  ],
  "_rundeps": [
    "coda",
    "expm",
    "lattice",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mcmc",
    "MCMCpack",
    "quantreg",
    "SparseM",
    "survival"
  ],
  "_vignettes": [
    {
      "source": "popdemo.Rmd",
      "filename": "popdemo.html",
      "title": "popdemo: Demographic modelling using projection matrices",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Installing popdemo",
        "Installing from GitHub:",
        "Installing from CRAN:",
        "Vignette layout",
        "Deterministic population dynamics",
        "Desert tortoise model",
        "1. Deterministic projections",
        "i. EXTRAS",
        "2. Asymptotic dynamics",
        "2.1 Asymptotic growth",
        "2.2 Asymptotic population structure",
        "2.3 Reproductive value",
        "ii. EXTRAS",
        "3. Transient dynamics",
        "3.1 Standardisations",
        "3.2 Transient indices",
        "3.2.1 Reactivity",
        "3.2.2 Inertia",
        "3.2.3 Maximum amplification and attenuation",
        "iii. EXTRAS",
        "4. Transient bounds",
        "4.1 Plotting transient bounds",
        "4.1.1 Stage-biased projections",
        "4.2 Bounds on transient indices",
        "iv. EXTRAS",
        "5. Perturbations: asymptotic",
        "5.1 Sensitivity and elasticity: linear perturbation analysis",
        "5.1.1 Sensitivity",
        "5.1.2 Elasticity",
        "5.2 Transfer functions: nonlinear perturbation analysis",
        "v. EXTRAS",
        "6. Perturbations: transient",
        "6.1 Sensitivity: linear perturbation analysis",
        "6.2 Transfer functions: nonlinear perturbation analysis",
        "vi. EXTRAS",
        "Stochastic population dynamics",
        "Polar bear model",
        "7. Stochastic projections",
        "7.1 Matrix selection using Markov processes",
        "7.2 Nonrandom matrix selection",
        "vii. EXTRAS",
        "8. Long-run stochastic dynamics"
      ],
      "created": "2018-03-17 22:13:58",
      "modified": "2026-03-09 15:30:10",
      "commits": 4
    }
  ],
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