{
  "_id": "6ac64ed0f511ae58c09a9df0",
  "Package": "sspm",
  "Type": "Package",
  "Title": "Spatial Surplus Production Model Framework for Northern Shrimp\nPopulations",
  "Version": "1.1.0",
  "Authors@R": "c(\nperson(\"Valentin\", \"Lucet\", email = \"valentin.lucet@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Eric\", \"Pedersen\", email = \"eric.pedersen@concordia.ca\", role = c(\"aut\")))",
  "Description": "Implement a GAM-based (Generalized Additive Models)\nspatial surplus production model (spatial SPM), aimed at\nmodeling northern shrimp population in Atlantic Canada but\npotentially to any stock in any location. The package is\nopinionated in its implementation of SPMs as it internally\nmakes the choice to use penalized spatial gams with time lags.\nHowever, it also aims to provide options for the user to\ncustomize their model. The methods are described in Pedersen et\nal. (2022,\n<https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2022/2022_062-eng.html>).",
  "License": "MIT + file LICENSE",
  "BugReports": "https://github.com/pedersen-fisheries-lab/sspm/issues",
  "URL": "https://pedersen-fisheries-lab.github.io/sspm/",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Config/testthat/edition": "3",
  "LazyData": "True",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibicu-dev libssl-dev libproj-dev libsqlite3-dev\nlibudunits2-dev",
  "Repository": "https://pedersen-fisheries-lab.r-universe.dev",
  "Date/Publication": "2025-11-11 00:24:56 UTC",
  "RemoteUrl": "https://github.com/pedersen-fisheries-lab/sspm",
  "RemoteRef": "HEAD",
  "RemoteSha": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-07 11:17:04 UTC",
    "User": "root"
  },
  "Author": "Valentin Lucet [aut, cre, cph],\nEric Pedersen [aut]",
  "Maintainer": "Valentin Lucet <valentin.lucet@gmail.com>",
  "_user": "pedersen-fisheries-lab",
  "_type": "src",
  "_file": "sspm_1.1.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/f3d6f861a1c5b77ca514546d2d08e8995da2f26d3a2c3480e5b69471387201da",
  "_filesize": 3463332,
  "_sha256": "f3d6f861a1c5b77ca514546d2d08e8995da2f26d3a2c3480e5b69471387201da",
  "_expires": "2027-01-15T13:53:18.000Z",
  "_created": "2026-10-07T11:17:04.000Z",
  "_published": "2026-10-07T13:53:20.312Z",
  "_buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 112764797589,
      "time": 226,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11478541308"
    },
    {
      "job": 112764797599,
      "time": 198,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11478641197"
    },
    {
      "job": 112764797722,
      "time": 222,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11487395762"
    },
    {
      "job": 112764797702,
      "time": 179,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11486033927"
    },
    {
      "job": 112763373654,
      "time": 226,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11479165320"
    },
    {
      "job": 112764797517,
      "time": 129,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11479445578"
    },
    {
      "job": 112764797945,
      "time": 135,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11479090848"
    },
    {
      "job": 112764798220,
      "time": 174,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11478736019"
    },
    {
      "job": 112764798170,
      "time": 187,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11479106042"
    }
  ],
  "_upstream": "https://github.com/pedersen-fisheries-lab/sspm",
  "_commit": {
    "id": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
    "author": "Valentin Lucet <valentin.lucet@gmail.com>",
    "committer": "Valentin Lucet <valentin.lucet@gmail.com>",
    "message": "update lockfiel\n",
    "time": 1762820696
  },
  "_maintainer": {
    "name": "Valentin Lucet",
    "email": "valentin.lucet@gmail.com",
    "login": "vlucet",
    "bluesky": "@vlucet.bsky.social",
    "description": "Ecologist & Research Software Developer",
    "uuid": 11233873
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "sf",
      "role": "Depends"
    },
    {
      "package": "mgcv",
      "role": "Depends"
    },
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "units",
      "role": "Imports"
    },
    {
      "package": "checkmate",
      "role": "Imports"
    },
    {
      "package": "cli",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "ggforce",
      "role": "Suggests"
    },
    {
      "package": "lwgeom",
      "role": "Suggests"
    },
    {
      "package": "tweedie",
      "role": "Suggests"
    },
    {
      "package": "sfdct",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "pedersen-fisheries-lab",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-45",
      "n": 3
    },
    {
      "week": "2025-46",
      "n": 2
    }
  ],
  "_tags": [
    {
      "name": "v1.1.0",
      "date": "2025-11-06"
    }
  ],
  "_topics": [
    "gam",
    "model",
    "spatial",
    "surplus"
  ],
  "_stars": 3,
  "_contributors": [
    {
      "user": "vlucet",
      "count": 1640,
      "uuid": 11233873
    },
    {
      "user": "eric-pedersen",
      "count": 11,
      "uuid": 1554249
    },
    {
      "user": "bisaloo",
      "count": 3,
      "uuid": 10783929
    },
    {
      "user": "quang-huynh",
      "count": 1,
      "uuid": 15094006
    }
  ],
  "_userbio": {
    "uuid": 53660412,
    "type": "organization",
    "name": "Pedersen Quantitative Fisheries Lab",
    "followers": 6
  },
  "_downloads": {
    "count": 346,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/sspm"
  },
  "_devurl": "https://github.com/pedersen-fisheries-lab/sspm",
  "_pkgdown": "https://pedersen-fisheries-lab.github.io/sspm/",
  "_searchresults": 22,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/sspm.html",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/pedersen-fisheries-lab/sspm",
  "_realowner": "pedersen-fisheries-lab",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.9.1",
      "date": "2022-05-12"
    },
    {
      "version": "1.0.3",
      "date": "2025-02-12"
    },
    {
      "version": "1.1.0",
      "date": "2025-12-11"
    }
  ],
  "_exports": [
    "%>%",
    "as_discretization_method",
    "formula_type",
    "formula_type<-",
    "formula_vars",
    "formula_vars<-",
    "is_fitted",
    "is_fitted<-",
    "is_mapped",
    "is_mapped<-",
    "is_split",
    "is_split<-",
    "method_func",
    "method_func<-",
    "plot",
    "predict",
    "predict_intervals",
    "raw_formula",
    "raw_formula<-",
    "smooth_lag",
    "smooth_space",
    "smooth_space_time",
    "smooth_time",
    "spm",
    "spm_aggregate",
    "spm_aggregate_catch",
    "spm_as_boundary",
    "spm_as_dataset",
    "spm_biomass_vars",
    "spm_biomass_vars<-",
    "spm_boundaries",
    "spm_boundaries<-",
    "spm_boundary",
    "spm_boundary_area",
    "spm_boundary_area<-",
    "spm_boundary<-",
    "spm_coords_col",
    "spm_coords_col<-",
    "spm_data",
    "spm_data<-",
    "spm_datasets",
    "spm_datasets<-",
    "spm_density_vars",
    "spm_density_vars<-",
    "spm_discret_method",
    "spm_discret_method<-",
    "spm_discretize",
    "spm_formulas",
    "spm_formulas<-",
    "spm_get_fit",
    "spm_get_fit<-",
    "spm_lag",
    "spm_lagged_vars",
    "spm_lagged_vars<-",
    "spm_methods",
    "spm_name",
    "spm_name<-",
    "spm_patches",
    "spm_patches_area",
    "spm_patches_area<-",
    "spm_patches<-",
    "spm_points",
    "spm_points<-",
    "spm_response",
    "spm_response<-",
    "spm_smooth",
    "spm_smooth_methods",
    "spm_smoothed_data",
    "spm_smoothed_data<-",
    "spm_smoothed_fit",
    "spm_smoothed_fit<-",
    "spm_smoothed_vars",
    "spm_smoothed_vars<-",
    "spm_split",
    "spm_time",
    "spm_time<-",
    "spm_unique_ID",
    "spm_unique_ID<-",
    "sspm",
    "summary",
    "tesselate_voronoi",
    "translated_formula",
    "translated_formula<-",
    "triangulate_delaunay"
  ],
  "_datasets": [
    {
      "name": "borealis_simulated",
      "title": "Simulated biomass data",
      "object": "borealis_simulated",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year_f",
        "sfa",
        "weight_per_km2",
        "temp_at_bottom",
        "lon_dec",
        "lat_dec",
        "row",
        "uniqueID"
      ],
      "rows": 1800,
      "table": true,
      "tojson": true
    },
    {
      "name": "catch_simulated",
      "title": "Simulated catch data",
      "object": "catch_simulated",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year_f",
        "sfa",
        "catch",
        "lon_dec",
        "lat_dec",
        "row",
        "uniqueID"
      ],
      "rows": 2020,
      "table": true,
      "tojson": true
    },
    {
      "name": "predator_simulated",
      "title": "Simulated predator data",
      "object": "predator_simulated",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year_f",
        "sfa",
        "weight_per_km2",
        "lon_dec",
        "lat_dec",
        "row",
        "uniqueID"
      ],
      "rows": 10200,
      "table": true,
      "tojson": true
    },
    {
      "name": "sfa_boundaries",
      "title": "SFA boundaries data",
      "object": "sfa_boundaries",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "sfa",
        "geometry",
        "area"
      ],
      "rows": 4,
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "extract-methods",
      "title": "Extract methods",
      "topics": [
        "$,sspm-method",
        "$,sspm_boundary-method",
        "$,sspm_dataset-method",
        "$,sspm_discrete_boundary-method",
        "extract"
      ]
    },
    {
      "page": "as_discretization_method",
      "title": "Cast into a 'discretization_method' object",
      "topics": [
        "as_discretization_method",
        "as_discretization_method,character,ANY-method",
        "as_discretization_method,missing,function-method"
      ]
    },
    {
      "page": "borealis_simulated",
      "title": "Simulated biomass data",
      "topics": [
        "borealis_simulated"
      ]
    },
    {
      "page": "catch_simulated",
      "title": "Simulated catch data",
      "topics": [
        "catch_simulated"
      ]
    },
    {
      "page": "discretization_method-class",
      "title": "sspm discretization method class",
      "topics": [
        "discretization_method-class"
      ]
    },
    {
      "page": "accessors-methods-discret_method",
      "title": "Accessing OR replacing 'discretization_method' model elements",
      "topics": [
        "method_func",
        "method_func,discretization_method-method",
        "method_func<-",
        "method_func<-,discretization_method-method",
        "spm_name,discretization_method-method",
        "spm_name<-,discretization_method-method"
      ]
    },
    {
      "page": "plot",
      "title": "Plot 'sspm' objects",
      "topics": [
        "plot",
        "plot,sspm_boundary,missing-method",
        "plot,sspm_dataset,missing-method",
        "plot,sspm_fit,missing-method",
        "plot.sspm"
      ]
    },
    {
      "page": "predator_simulated",
      "title": "Simulated predator data",
      "topics": [
        "predator_simulated"
      ]
    },
    {
      "page": "predict",
      "title": "Predict with a SPM model",
      "topics": [
        "predict",
        "predict,sspm_dataset-method",
        "predict,sspm_fit-method",
        "predict.sspm"
      ]
    },
    {
      "page": "intervals",
      "title": "GAM confidence and prediction intervals",
      "topics": [
        "predict_intervals"
      ]
    },
    {
      "page": "accessors-methods-sspm_formula",
      "title": "Accessing OR replacing 'sspm_formula' model elements",
      "topics": [
        "formula_type",
        "formula_type,sspm_formula-method",
        "formula_type<-",
        "formula_type<-,sspm_formula-method",
        "formula_vars",
        "formula_vars,sspm_formula-method",
        "formula_vars<-",
        "formula_vars<-,sspm_formula-method",
        "is_fitted",
        "is_fitted,sspm_formula-method",
        "is_fitted<-",
        "is_fitted<-,sspm_formula-method",
        "raw_formula",
        "raw_formula,sspm_formula-method",
        "raw_formula<-",
        "raw_formula<-,sspm_formula-method",
        "spm_lagged_vars",
        "spm_lagged_vars,sspm_formula-method",
        "spm_lagged_vars<-",
        "spm_lagged_vars<-,sspm_formula-method",
        "spm_response",
        "spm_response,sspm_formula-method",
        "spm_response<-",
        "spm_response<-,sspm_formula-method",
        "translated_formula",
        "translated_formula,sspm_formula-method",
        "translated_formula<-",
        "translated_formula<-,sspm_formula-method"
      ]
    },
    {
      "page": "sfa_boundaries",
      "title": "SFA boundaries data",
      "topics": [
        "sfa_boundaries"
      ]
    },
    {
      "page": "smooths",
      "title": "sspm Smoothing functions",
      "topics": [
        "smooth_lag",
        "smooth_lag,ANY,sf,sspm_discrete_boundary-method",
        "smooth_space",
        "smooth_space,sf,sspm_discrete_boundary-method",
        "smooth_space_time",
        "smooth_space_time,sf,sspm_discrete_boundary-method",
        "smooth_time",
        "smooth_time,sf,sspm_discrete_boundary-method"
      ]
    },
    {
      "page": "spm",
      "title": "Fit an SPM model",
      "topics": [
        "spm",
        "spm,sspm,formula-method",
        "spm,sspm,missing-method"
      ]
    },
    {
      "page": "spm_aggregate",
      "title": "Aggregate a dataset or fit data variable based on a boundary",
      "topics": [
        "spm_aggregate",
        "spm_aggregate,sspm_dataset,missing-method",
        "spm_aggregate,sspm_dataset,sspm_discrete_boundary-method"
      ]
    },
    {
      "page": "spm_aggregate_catch",
      "title": "Update biomass value from catch adta",
      "topics": [
        "spm_aggregate_catch",
        "spm_aggregate_catch,sspm_dataset,sspm_dataset,character,character-method"
      ]
    },
    {
      "page": "spm_as_boundary",
      "title": "Create a sspm_boundary object",
      "topics": [
        "spm_as_boundary",
        "spm_as_boundary,ANY,missing,ANY,ANY-method",
        "spm_as_boundary,missing,ANY,ANY,ANY-method",
        "spm_as_boundary,sf,character,ANY,ANY-method",
        "spm_as_boundary,sf,character,missing,missing-method"
      ]
    },
    {
      "page": "spm_as_dataset",
      "title": "Create a 'sspm_dataset' dataset structure",
      "topics": [
        "spm_as_dataset",
        "spm_as_dataset,data.frame,ANY,ANY,ANY,character-method",
        "spm_as_dataset,data.frame,ANY,ANY,ANY,list-method",
        "spm_as_dataset,data.frame,ANY,ANY,ANY,missingOrNULL-method",
        "spm_as_dataset,sf,ANY,ANY,ANY,ANY-method"
      ]
    },
    {
      "page": "accessors-methods-sspm_boundary",
      "title": "Accessing OR replacing 'sspm_boundary' model elements",
      "topics": [
        "spm_boundaries,sspm_boundary-method",
        "spm_boundaries<-,sspm_boundary-method",
        "spm_boundary",
        "spm_boundary,sspm_boundary-method",
        "spm_boundary<-",
        "spm_boundary<-,sspm_boundary-method",
        "spm_boundary_area",
        "spm_boundary_area,sspm_boundary-method",
        "spm_boundary_area<-",
        "spm_boundary_area<-,sspm_boundary-method",
        "spm_discret_method",
        "spm_discret_method,sspm_discrete_boundary-method",
        "spm_discret_method<-",
        "spm_discret_method<-,sspm_discrete_boundary-method",
        "spm_patches",
        "spm_patches,sspm_discrete_boundary-method",
        "spm_patches<-",
        "spm_patches<-,sspm_discrete_boundary-method",
        "spm_patches_area",
        "spm_patches_area,sspm_discrete_boundary-method",
        "spm_patches_area<-",
        "spm_patches_area<-,sspm_discrete_boundary-method",
        "spm_points",
        "spm_points,sspm_discrete_boundary-method",
        "spm_points<-",
        "spm_points<-,sspm_discrete_boundary-method"
      ]
    },
    {
      "page": "accessors-methods-sspm_dataset",
      "title": "Accessing OR replacing 'sspm_dataset' model elements",
      "topics": [
        "is_mapped",
        "is_mapped,sspm_dataset-method",
        "is_mapped<-",
        "is_mapped<-,sspm_dataset-method",
        "spm_biomass_vars",
        "spm_biomass_vars,sspm_dataset-method",
        "spm_biomass_vars<-",
        "spm_biomass_vars<-,sspm_dataset-method",
        "spm_boundaries,sspm_dataset-method",
        "spm_boundaries<-,sspm_dataset-method",
        "spm_coords_col",
        "spm_coords_col,sspm_dataset-method",
        "spm_coords_col<-",
        "spm_coords_col<-,sspm_dataset-method",
        "spm_data",
        "spm_data,sspm_dataset-method",
        "spm_data<-",
        "spm_data<-,sspm_dataset-method",
        "spm_density_vars",
        "spm_density_vars,sspm_dataset-method",
        "spm_density_vars<-",
        "spm_density_vars<-,sspm_dataset-method",
        "spm_formulas",
        "spm_formulas,sspm_dataset-method",
        "spm_formulas<-",
        "spm_formulas<-,sspm_dataset-method",
        "spm_name,sspm_dataset-method",
        "spm_name<-,sspm_dataset-method",
        "spm_smoothed_data,sspm_dataset-method",
        "spm_smoothed_data<-,sspm_dataset-method",
        "spm_smoothed_fit",
        "spm_smoothed_fit,sspm_dataset-method",
        "spm_smoothed_fit<-",
        "spm_smoothed_fit<-,sspm_dataset-method",
        "spm_smoothed_vars",
        "spm_smoothed_vars,sspm_dataset-method",
        "spm_smoothed_vars<-",
        "spm_smoothed_vars<-,sspm_dataset-method",
        "spm_time,sspm_dataset-method",
        "spm_time<-,sspm_dataset-method",
        "spm_unique_ID,sspm_dataset-method",
        "spm_unique_ID<-,sspm_dataset-method"
      ]
    },
    {
      "page": "spm_discretize",
      "title": "Discretize a 'sspm' model object",
      "topics": [
        "spm_discretize",
        "spm_discretize,sspm_boundary,ANY,missing-method",
        "spm_discretize,sspm_boundary,character,ANY-method",
        "spm_discretize,sspm_boundary,discretization_method,ANY-method",
        "spm_discretize,sspm_boundary,function,ANY-method",
        "spm_discretize,sspm_boundary,missing,ANY-method"
      ]
    },
    {
      "page": "spm_lag",
      "title": "Create lagged columns in a sspm smoothed data slot",
      "topics": [
        "spm_lag",
        "spm_lag,sspm-method",
        "spm_lag,sspm_fit-method"
      ]
    },
    {
      "page": "spm_methods",
      "title": "Get the list of available discretization methods",
      "topics": [
        "spm_methods"
      ]
    },
    {
      "page": "sspm-accessors-methods",
      "title": "Accessing OR replacing 'sspm' model elements",
      "topics": [
        "is_split",
        "is_split,sspm-method",
        "is_split<-",
        "is_split<-,sspm-method",
        "spm_",
        "spm_boundaries",
        "spm_boundaries,sspm-method",
        "spm_boundaries<-",
        "spm_boundaries<-,sspm-method",
        "spm_datasets",
        "spm_datasets,sspm-method",
        "spm_datasets<-",
        "spm_datasets<-,sspm-method",
        "spm_name",
        "spm_name<-",
        "spm_smoothed_data",
        "spm_smoothed_data,sspm-method",
        "spm_smoothed_data<-",
        "spm_smoothed_data<-,sspm-method",
        "spm_time",
        "spm_time,sspm-method",
        "spm_time<-",
        "spm_time<-,sspm-method",
        "spm_unique_ID",
        "spm_unique_ID,sspm-method",
        "spm_unique_ID<-",
        "spm_unique_ID<-,sspm-method"
      ]
    },
    {
      "page": "spm_smooth",
      "title": "Smooth a variable in a sspm dataset",
      "topics": [
        "spm_smooth",
        "spm_smooth,sspm_dataset,formula,sspm_discrete_boundary-method"
      ]
    },
    {
      "page": "spm_smooth_methods",
      "title": "Get the list of available smoothing methods",
      "topics": [
        "spm_smooth_methods"
      ]
    },
    {
      "page": "spm_split",
      "title": "Split data in test and train sets",
      "topics": [
        "spm_split",
        "spm_split,sspm-method"
      ]
    },
    {
      "page": "accessors-methods-sspm_fit",
      "title": "Accessing OR replacing 'sspm_fit' model elements",
      "topics": [
        "spm_boundaries,sspm_fit-method",
        "spm_boundaries<-,sspm_fit-method",
        "spm_boundary,sspm_fit-method",
        "spm_boundary<-,sspm_fit-method",
        "spm_formulas,sspm_fit-method",
        "spm_formulas<-,sspm_fit-method",
        "spm_get_fit",
        "spm_get_fit,sspm_fit-method",
        "spm_get_fit<-",
        "spm_get_fit<-,sspm_fit-method",
        "spm_smoothed_data,sspm_fit-method",
        "spm_smoothed_data<-,sspm_fit-method",
        "spm_time,sspm_fit-method",
        "spm_time<-,sspm_fit-method",
        "spm_unique_ID,sspm_fit-method",
        "spm_unique_ID<-,sspm_fit-method"
      ]
    },
    {
      "page": "sspm-constructor",
      "title": "Create a 'sspm' model object",
      "topics": [
        "sspm",
        "sspm,sspm_dataset,list-method",
        "sspm,sspm_dataset,missing-method",
        "sspm,sspm_dataset,sspm_dataset-method"
      ]
    },
    {
      "page": "sspm_boundary-class",
      "title": "sspm boundary structure",
      "topics": [
        "sspm_boundary-class"
      ]
    },
    {
      "page": "sspm_dataset-class",
      "title": "sspm dataset structure",
      "topics": [
        "sspm_dataset-class"
      ]
    },
    {
      "page": "sspm_discrete_boundary-class",
      "title": "sspm discrete boundary structure",
      "topics": [
        "sspm_discrete_boundary-class"
      ]
    },
    {
      "page": "sspm_fit-class",
      "title": "sspm fit",
      "topics": [
        "sspm_fit-class"
      ]
    },
    {
      "page": "sspm_formula-class",
      "title": "sspm formula object",
      "topics": [
        "sspm_formula-class"
      ]
    },
    {
      "page": "sspm-class",
      "title": "sspm model class",
      "topics": [
        "sspm-class"
      ]
    },
    {
      "page": "summary",
      "title": "Summarises 'sspm_fit' objects",
      "topics": [
        "summary",
        "summary,sspm_fit-method",
        "summary.sspm"
      ]
    },
    {
      "page": "tesselate_voronoi",
      "title": "Perform voronoi tesselation",
      "topics": [
        "tesselate_voronoi"
      ]
    },
    {
      "page": "triangulate_delaunay",
      "title": "Perform delaunay triangulation",
      "topics": [
        "triangulate_delaunay"
      ]
    }
  ],
  "_pkglogo": "https://github.com/pedersen-fisheries-lab/sspm/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/pedersen-fisheries-lab/sspm/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "checkmate",
    "class",
    "classInt",
    "cli",
    "cpp11",
    "DBI",
    "dplyr",
    "e1071",
    "generics",
    "glue",
    "KernSmooth",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "mgcv",
    "nlme",
    "pillar",
    "pkgconfig",
    "proxy",
    "purrr",
    "R6",
    "Rcpp",
    "rlang",
    "s2",
    "sf",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "units",
    "utf8",
    "vctrs",
    "withr",
    "wk"
  ],
  "_vignettes": [
    {
      "source": "An_example_with_simulated_data.Rmd",
      "filename": "An_example_with_simulated_data.html",
      "title": "An example with simulated data",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2022-04-19 15:58:26",
      "modified": "2023-05-15 13:12:06",
      "commits": 18
    },
    {
      "source": "Package_and_workflow_design.Rmd",
      "filename": "Package_and_workflow_design.html",
      "title": "Package and workflow design",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2022-04-19 15:58:26",
      "modified": "2023-05-15 13:12:06",
      "commits": 4
    }
  ],
  "_score": 5.597695185925513,
  "_indexed": true,
  "_nocasepkg": "sspm",
  "_universes": [
    "pedersen-fisheries-lab",
    "vlucet"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.0",
      "date": "2026-10-07T11:19:38.000Z",
      "distro": "resolute",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/1669e0c59d5fa74915a686804a135f150b546dd8231a00bb2befa3974f4317f2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.1.0",
      "date": "2026-10-07T11:19:30.000Z",
      "distro": "resolute",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/ae4169eda66cb073361bdd53c29dc4ced0b8483eae0a02be17014b4f94bd356a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.0",
      "date": "2026-10-07T13:51:35.000Z",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/0bac0dc7cb44107a97e40cc22e80dcca0839c2beec44e04a98ad18d5e356747c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.1.0",
      "date": "2026-10-07T13:49:58.000Z",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/5fb0457e10b4f6fe207c7054f8f9657d03a8b153fe8b52b57b6a9cc3260af65f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.0",
      "date": "2026-10-07T11:19:32.000Z",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/e023bd489a39259aef0a69f0363b6474d54b5e7845a8d3d205f5767e882e9f90",
      "status": "success",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-10-07T11:18:20.000Z",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/1fc3fc1750d7a9e2a840b16c5bed1f89f5fa34bc5b36480a1a69ea0d99cb7e98",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-10-07T11:18:26.000Z",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/4d25ed67ad77da477638dd8566dc5cf3439f4465c51e286981545069a8a4fe39",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-10-07T11:18:38.000Z",
      "commit": "1ea3e040e63b22617725c43ab4f6e106e1b6fb20",
      "fileid": "https://r2.ropensci.org/55556612df0b81c6c8c08373ff13e409b1a038928ec4a693f20ca286f651894c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pedersen-fisheries-lab/actions/runs/37612596130"
    }
  ]
}