{
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  "Package": "plant",
  "Title": "A Package for Modelling Forest Trait Ecology and Evolution",
  "Version": "2.0.0.9002",
  "Authors@R": "c(\nperson(\"Daniel\", \"Falster\", , \"daniel.falster@unsw.edu.au\", c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9814-092X\")),\nperson(\"Richard\", \"FitzJohn\", , \"\", \"aut\"),\nperson(\"Andrew\", \"O'Reilly-Nugent\", , \"\", \"aut\"),\nperson(\"Isaac\", \"Towers\", , \"\", \"aut\"),\nperson(\"Mitchell\", \"Henry\", , \"\", \"ctb\"),\nperson(\"Rafael\", \"Schouten\", , \"\", \"ctb\"),\nperson(\"John\", \"Wilshire\", , \"\", \"ctb\")\n)",
  "Maintainer": "Daniel Falster <daniel.falster@unsw.edu.au>",
  "Description": "Solves trait, size and patch structured model from\n(Falster et al. 2016) using either method of characteristics or\nas stochastic, finite-sized population.",
  "Encoding": "UTF-8",
  "License": "AGPL (>= 3)",
  "Remotes": [
    "richfitz/RcppR6",
    "traitecoevo/odelia@88cbff7",
    "traitecoevo/phylloptim@edaffe8"
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  "URL": "https://github.com/traitecoevo/plant",
  "BugReports": "https://github.com/traitecoevo/plant/issues",
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  "Repository": "https://traitecoevo.r-universe.dev",
  "Date/Publication": "2026-10-13 20:01:13 UTC",
  "RemoteUrl": "https://github.com/traitecoevo/plant",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-13 23:31:34 UTC",
    "User": "root"
  },
  "Author": "Daniel Falster [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9814-092X>),\nRichard FitzJohn [aut],\nAndrew O'Reilly-Nugent [aut],\nIsaac Towers [aut],\nMitchell Henry [ctb],\nRafael Schouten [ctb],\nJohn Wilshire [ctb]",
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  "_expires": "2027-01-22T00:29:19.000Z",
  "_created": "2026-10-13T23:31:34.000Z",
  "_published": "2026-10-14T00:29:21.585Z",
  "_buildurl": "https://github.com/r-universe/traitecoevo/actions/runs/38484203847",
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  "_host": "GitHub-Actions",
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    "author": "Daniel Falster <daniel.falster@unsw.edu.au>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Differentiate an FF16 species' fitness (#658)\n\nregnans's first asks of the stand gradient (#650, E1-E3) are fitness:\neach FF16 species' net reproduction ratio and offspring production as\ndifferentiable metrics, an invader's fitness with the canopy held at\nthe recorded resident, and the birth rate as a column.\n\nstand_gradient() now differentiates \"<i>.net_reproduction_ratio\" and\n\"<i>.offspring_production\" by every FF16 column, S_D and a constant\nbirth rate included; stand_fitness() reports them. An invasion replay\nkeeps its states on request, and its sweep stands in the resident's\nfield.\n\nCo-authored-by: Claude Opus 5.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5.1 <noreply@anthropic.com>",
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    "email": "daniel.falster@unsw.edu.au",
    "login": "dfalster",
    "orcid": "0000-0002-9814-092X",
    "twitter": "@adaptive_plant",
    "description": "Associate Professor |  @traitecoevo | @nicercode \n| orcid.org/0000-0002-9814-092X | twitter.com/adaptive_plant",
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  "_tags": [],
  "_topics": [
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    "demography",
    "dynamic",
    "ecology",
    "evolution",
    "forests",
    "plant-physiology",
    "science-research",
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    "extra/citation.json",
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    "extra/plant.html",
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    "extra/readme.md"
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  "_exports": [
    "%>%",
    "add_mutant",
    "add_strategies",
    "build_scenario",
    "check_driver_interpolation",
    "classify_scm_run",
    "climate_extreme",
    "control",
    "Control",
    "control_accurate",
    "Disturbance_Regime",
    "Environment",
    "environment_type",
    "evaluate_scenario",
    "events",
    "events_default",
    "expand_parameters",
    "expand_state",
    "export_patch_state",
    "FF16_Environment",
    "FF16_expand_state",
    "FF16_generate_stand_report",
    "FF16_hyperpar",
    "FF16_Individual",
    "FF16_Parameters",
    "FF16_Pars",
    "FF16_Strategy",
    "fitness_window",
    "fixed_point_fitness",
    "generate_strategy",
    "gradient_control",
    "grow_individual_to_height",
    "grow_individual_to_size",
    "grow_individual_to_time",
    "harvest",
    "hyperpar",
    "Individual",
    "integrate_over_size_distribution",
    "interpolate_to_heights",
    "interpolate_to_times",
    "K93_Environment",
    "K93_expand_state",
    "K93_hyperpar",
    "K93_Individual",
    "K93_Parameters",
    "K93_Pars",
    "K93_Strategy",
    "Leaf",
    "make_FF16_hyperpar",
    "make_hyperpar",
    "make_initial_state",
    "make_K93_hyperpar",
    "make_TF24_hyperpar",
    "make_TF24f_hyperpar",
    "model_id",
    "model_version",
    "mutant_parameters",
    "No_Disturbance",
    "node_introductions",
    "node_schedule_times_default",
    "node_schedule_times_periodic",
    "NodeSchedule",
    "optimise_individual_rate_at_height_by_trait",
    "optimise_individual_rate_at_size_by_trait",
    "param_hyperpar",
    "plant_log_console",
    "plot_size_distribution",
    "pulse_series_poisson",
    "pulse_series_record",
    "pulse_series_regular",
    "rainfall_pulse",
    "read_scenario_mapping",
    "read_scenario_table",
    "resource_compensation_point",
    "resource_pulse",
    "run_plant_benchmarks",
    "run_scenarios",
    "run_scm",
    "run_stochastic_collect",
    "run_until_converged",
    "scenario_control",
    "scenario_generate_report",
    "scenario_model_fingerprint",
    "scenario_run_metadata",
    "scenario_summary",
    "scenario_to_config",
    "scm_base_parameters",
    "seq_log",
    "seq_log_range",
    "seq_range",
    "set_initial_state",
    "stand_census",
    "stand_census_state_adjoint",
    "stand_fitness",
    "stand_gradient",
    "stand_gradient_compare",
    "stand_gradient_refused",
    "strategy_list",
    "TF24_Environment",
    "TF24_expand_state",
    "TF24_generate_stand_report",
    "TF24_H_ANCHOR",
    "TF24_hyperpar",
    "TF24_Individual",
    "TF24_K_s_from_whole_stem",
    "TF24_Parameters",
    "TF24_Pars",
    "TF24_plot_diagnostics",
    "TF24_Strategy",
    "TF24f_expand_state",
    "TF24f_generate_stand_report",
    "TF24f_hyperpar",
    "TF24f_Individual",
    "TF24f_Parameters",
    "TF24f_Strategy",
    "tidy_individual",
    "tidy_snapshots",
    "trait_matrix",
    "util_colour_set_opacity",
    "Weibull_Disturbance_Regime"
  ],
  "_help": [
    {
      "page": "add_strategies",
      "title": "Add strategies (or a mutant) to Parameters",
      "topics": [
        "add_mutant",
        "add_strategies",
        "expand_parameters",
        "mutant_parameters"
      ]
    },
    {
      "page": "check_driver_interpolation",
      "title": "Check how a driver's control points survive interpolation",
      "topics": [
        "check_driver_interpolation"
      ]
    },
    {
      "page": "control_presets",
      "title": "Control presets",
      "topics": [
        "control",
        "control_accurate"
      ]
    },
    {
      "page": "Control",
      "title": "Control parameters",
      "topics": [
        "Control"
      ]
    },
    {
      "page": "Disturbance_Regime",
      "title": "Disturbance regime",
      "topics": [
        "Disturbance_Regime"
      ]
    },
    {
      "page": "Environment",
      "title": "Creates an environment object of specified type",
      "topics": [
        "Environment",
        "environment_type"
      ]
    },
    {
      "page": "events",
      "title": "Discrete events applied during an SCM run.",
      "topics": [
        "climate_extreme",
        "events",
        "events_default",
        "harvest",
        "node_introductions",
        "resource_pulse"
      ]
    },
    {
      "page": "export_patch_state",
      "title": "Export patch state from an SCM",
      "topics": [
        "export_patch_state"
      ]
    },
    {
      "page": "FF16_Environment",
      "title": "Create an FF16_Environment object.",
      "topics": [
        "FF16_Environment",
        "K93_Environment"
      ]
    },
    {
      "page": "expand_state",
      "title": "Add additional state variables to the species component in output of a model.",
      "topics": [
        "expand_state",
        "FF16_expand_state",
        "K93_expand_state",
        "TF24f_expand_state",
        "TF24_expand_state"
      ]
    },
    {
      "page": "FF16_generate_stand_report",
      "title": "Generates a report on stand grown with FF16 strategy",
      "topics": [
        "FF16_generate_stand_report"
      ]
    },
    {
      "page": "FF16_hyperpar",
      "title": "Hyperparameter function for FF16 physiological model",
      "topics": [
        "FF16_hyperpar"
      ]
    },
    {
      "page": "FF16_individual",
      "title": "Create a FF16 Individual",
      "topics": [
        "FF16_Individual"
      ]
    },
    {
      "page": "FF16_Parameters",
      "title": "Setup an a model system with default or specified parameters",
      "topics": [
        "FF16_Parameters",
        "K93_Parameters"
      ]
    },
    {
      "page": "FF16_Pars",
      "title": "FF16 strategy parameters",
      "topics": [
        "FF16_Pars"
      ]
    },
    {
      "page": "FF16_Strategy",
      "title": "Strategy parameters",
      "topics": [
        "FF16_Strategy"
      ]
    },
    {
      "page": "fitness_window",
      "title": "Weight arrivals by a window",
      "topics": [
        "fitness_window"
      ]
    },
    {
      "page": "fixed_point_fitness",
      "title": "Invader fitness at a fixed point",
      "topics": [
        "fixed_point_fitness"
      ]
    },
    {
      "page": "generate_strategy",
      "title": "Generate strategies from traits",
      "topics": [
        "generate_strategy",
        "strategy_list"
      ]
    },
    {
      "page": "gradient_control",
      "title": "The 'Control' entries a census gradient depends on.",
      "topics": [
        "gradient_control"
      ]
    },
    {
      "page": "grow_individual_to_size",
      "title": "Grow individual to given size",
      "topics": [
        "grow_individual_to_height",
        "grow_individual_to_size"
      ]
    },
    {
      "page": "grow_individual_to_time",
      "title": "Grow a plant",
      "topics": [
        "grow_individual_to_time"
      ]
    },
    {
      "page": "Individual",
      "title": "Individual object",
      "topics": [
        "Individual"
      ]
    },
    {
      "page": "integrate_over_size_distribution",
      "title": "Integrate over the size distribution for each species at each time point, to give totals of each variable Integrations are performed using trapezium integration",
      "topics": [
        "integrate_over_size_distribution"
      ]
    },
    {
      "page": "Internals",
      "title": "Extract Internals from plant object",
      "topics": [
        "Internals"
      ]
    },
    {
      "page": "interpolate_to_heights",
      "title": "Interpolate data on size distributions for each species to specific heights at every time point",
      "topics": [
        "interpolate_to_heights"
      ]
    },
    {
      "page": "interpolate_to_times",
      "title": "Interpolate data on size distributions for each species to specific timer points, using specified interpolation method",
      "topics": [
        "interpolate_to_times"
      ]
    },
    {
      "page": "K93_hyperpar",
      "title": "Hyperparameter function for K93 physiological model",
      "topics": [
        "K93_hyperpar"
      ]
    },
    {
      "page": "K93_Individual",
      "title": "Create a K93 Individual or Node",
      "topics": [
        "K93_Individual"
      ]
    },
    {
      "page": "K93_Pars",
      "title": "K93 strategy parameters",
      "topics": [
        "K93_Pars"
      ]
    },
    {
      "page": "K93_Strategy",
      "title": "Strategy parameters",
      "topics": [
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    },
    {
      "page": "Leaf",
      "title": "Leaf model",
      "topics": [
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    },
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      "page": "make_FF16_hyperpar",
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      "page": "Hyperparameter_functions",
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      "topics": [
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    },
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      "title": "Scientific version of a physiological model",
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      "title": "No disturbance regime No_Disturbance_Regime control object",
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      "page": "node_schedule_times_default",
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    },
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      "page": "NodeSchedule",
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      "page": "OdeControl",
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    },
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      "page": "optimise_individual_rate_at_size_by_trait",
      "title": "The function `optimise_individual_rate_at_height_by_trait` and `optimise_individual_rate_at_size_by_trait` solve for the maximum of some rate (e.g. growth rate) at a specified height within the interval of the bounds of a given trait",
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      "title": "Title",
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