{
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  "Package": "exactLTRE",
  "Title": "An Exact Method for Life Table Response Experiment (LTRE)\nAnalysis",
  "Version": "0.1.2.9000",
  "Authors@R": "person(\"Christina\", \"Hernandez\", , \"christinahernan@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-7188-8217\"))",
  "Description": "Life Table Response Experiments (LTREs) are a method of\ncomparative demographic analysis. The purpose is to quantify\nhow the difference or variance in vital rates (stage-specific\nsurvival, growth, and fertility) among populations contributes\nto difference or variance in the population growth rate,\n\"lambda.\" We provide functions for one-way fixed design and\nrandom design LTRE, using either the classical methods that\nhave been in use for several decades, or an fANOVA-based exact\nmethod that directly calculates the impact on lambda of changes\nin matrix elements, for matrix elements and their interactions.\nThe equations and descriptions for the classical methods of\nLTRE analysis can be found in Caswell (2001, ISBN: 0878930965),\nand the fANOVA-based exact methods are described in Hernandez\net al. (2023) <doi:10.1111/2041-210X.14065>. We also provide\nsome demographic functions, including generation time from\nBienvenu and Legendre (2015) <doi:10.1086/681104>. For\nimplementation of exactLTRE where all possible interactions are\ncalculated, we use an operator matrix presented in Poelwijk,\nKrishna, and Ranganathan (2016)\n<doi:10.1371/journal.pcbi.1004771>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Repository": "https://chrissy3815.r-universe.dev",
  "Date/Publication": "2025-06-29 20:50:37 UTC",
  "RemoteUrl": "https://github.com/chrissy3815/exactltre",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 09:09:19 UTC",
    "User": "root"
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  "Author": "Christina Hernandez [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-7188-8217>)",
  "Maintainer": "Christina Hernandez <christinahernan@gmail.com>",
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  "_created": "2026-05-11T09:09:19.000Z",
  "_published": "2026-05-22T11:32:01.056Z",
  "_distro": "noble",
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    "author": "Chrissy Hernandez <cmh352@cornell.edu>",
    "committer": "Chrissy Hernandez <cmh352@cornell.edu>",
    "message": "update\n",
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    "name": "Christina Hernandez",
    "email": "christinahernan@gmail.com",
    "login": "chrissy3815",
    "orcid": "0000-0002-7188-8217",
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      "package": "matrixcalc",
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  "_owner": "chrissy3815",
  "_selfowned": true,
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      "week": "2025-26",
      "n": 12
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      "date": "2025-06-28"
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    "type": "user",
    "name": "Chrissy Hernandez",
    "description": "Population ecology, early life history, and life history evolution: part fish, part math"
  },
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.html",
    "extra/NEWS.txt",
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    "extra/readme.md",
    "manual.pdf"
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      "date": "2022-11-17"
    },
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      "version": "0.1.2",
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  ],
  "_exports": [
    "calc_matrix_effects",
    "calc_matrix_responses",
    "classicalLTRE",
    "classicalLTRE_fixed",
    "classicalLTRE_random",
    "collapse_mat_list",
    "cov_matrix",
    "exactLTRE",
    "exactLTRE_fixed",
    "exactLTRE_random",
    "fundamental_matrix",
    "generation_time",
    "lamDiff",
    "lamDiff_symmetric",
    "lamVar",
    "lifespan",
    "make.Gmatrix",
    "mean_matrix",
    "r_nought",
    "reMat",
    "run_matrix_checks",
    "variance_complete"
  ],
  "_help": [
    {
      "page": "calc_matrix_effects",
      "title": "Effects of matrix parameters",
      "topics": [
        "calc_matrix_effects"
      ]
    },
    {
      "page": "calc_matrix_responses",
      "title": "Responses to changing entries of a matrix",
      "topics": [
        "calc_matrix_responses"
      ]
    },
    {
      "page": "classicalLTRE",
      "title": "Classical LTRE analysis",
      "topics": [
        "classicalLTRE"
      ]
    },
    {
      "page": "classicalLTRE_fixed",
      "title": "Classical LTRE analysis: one-way fixed design",
      "topics": [
        "classicalLTRE_fixed"
      ]
    },
    {
      "page": "classicalLTRE_random",
      "title": "Classical LTRE analysis: random design",
      "topics": [
        "classicalLTRE_random"
      ]
    },
    {
      "page": "collapse_mat_list",
      "title": "Collapse a list of matrices",
      "topics": [
        "collapse_mat_list"
      ]
    },
    {
      "page": "cov_matrix",
      "title": "The variance-covariance matrix for a set of population projection matrices",
      "topics": [
        "cov_matrix"
      ]
    },
    {
      "page": "exactLTRE",
      "title": "Exact LTRE analysis",
      "topics": [
        "exactLTRE"
      ]
    },
    {
      "page": "exactLTRE_fixed",
      "title": "Exact LTRE analysis: fixed design",
      "topics": [
        "exactLTRE_fixed"
      ]
    },
    {
      "page": "exactLTRE_random",
      "title": "Exact LTRE analysis: random design",
      "topics": [
        "exactLTRE_random"
      ]
    },
    {
      "page": "fundamental_matrix",
      "title": "Fundamental matrix",
      "topics": [
        "fundamental_matrix"
      ]
    },
    {
      "page": "generation_time",
      "title": "Generation time",
      "topics": [
        "generation_time"
      ]
    },
    {
      "page": "lamDiff",
      "title": "Difference in lambda",
      "topics": [
        "lamDiff"
      ]
    },
    {
      "page": "lamDiff_symmetric",
      "title": "Difference in lambda, with the mean as baseline",
      "topics": [
        "lamDiff_symmetric"
      ]
    },
    {
      "page": "lamVar",
      "title": "Variance in lambda",
      "topics": [
        "lamVar"
      ]
    },
    {
      "page": "lifespan",
      "title": "Expected lifespan",
      "topics": [
        "lifespan"
      ]
    },
    {
      "page": "make.Gmatrix",
      "title": "G-matrix",
      "topics": [
        "make.Gmatrix"
      ]
    },
    {
      "page": "mean_matrix",
      "title": "Calculate the mean matrix",
      "topics": [
        "mean_matrix"
      ]
    },
    {
      "page": "r_nought",
      "title": "R0, the net reproductive output",
      "topics": [
        "r_nought"
      ]
    },
    {
      "page": "reMat",
      "title": "Reconstruct a matrix that was collapsed into a row vector",
      "topics": [
        "reMat"
      ]
    },
    {
      "page": "run_matrix_checks",
      "title": "Automated checks for a set of matrices",
      "topics": [
        "run_matrix_checks"
      ]
    },
    {
      "page": "variance_complete",
      "title": "A function for variance assuming a complete sample",
      "topics": [
        "variance_complete"
      ]
    }
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