{ "_id": "6a26a4e524555f66ed522fd4", "Package": "DIETCOST", "Type": "Package", "Title": "Calculate the Cost and Environmental Impact of a Ideal Diet", "Version": "1.0.0.0", "RoxygenNote": "7.3.1", "Encoding": "UTF-8", "LazyData": "true", "Description": "Easily perform a Monte Carlo simulation to evaluate the\ncost and carbon, ecological, and water footprints of a set of\nideal diets. Pre-processing tools are also available to quickly\ntreat the data, along with basic statistical features to\nanalyze the simulation results — including the ability to\nestablish confidence intervals for selected parameters, such as\nnutrients and price/emissions. A 'standard version' of the\ndatasets employed is included as well, allowing users easy\naccess to customization. This package brings to R the 'Python'\nsoftware initially developed by Vandevijvere, Young, Mackay,\nSwinburn and Gahegan (2018) .", "Authors@R": "c(\nperson(\"Henrique\", \"Bracarense\", , \"hbracarense@hotmail.com\", role = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0009-0001-5964-9969\")),\nperson(\"Thais\", \"Marquezine\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-9415-5817\")),\nperson(\"Rafael\", \"Claro\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9690-575X\"))\n)", "License": "MIT + file LICENSE", "URL": "https://github.com/hbracarense/dietcost", "BugReports": "https://github.com/hbracarense/dietcost/issues", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 11:15:07 UTC", "User": "root" }, "Author": "Henrique Bracarense [cre, aut] (ORCID:\n), Thais Marquezine\n[aut] (ORCID: ), Rafael\nClaro [aut] (ORCID: )", "Maintainer": "Henrique Bracarense ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-05-09 14:10:16 UTC", "RemoteUrl": "https://github.com/cran/DIETCOST", "RemoteRef": "HEAD", "RemoteSha": "a523dc8fe73721988674473fc0743816dc9b101e", "MD5sum": "1f160678d4e5209ef9aa80878d247ed2", "_user": "cran", "_type": "src", "_file": "DIETCOST_1.0.0.0.tar.gz", "_fileid": "ebff9d928b375e8b1a2fb9f373c17b73360df0c1bcec26ffa19c7092fccae24d", "_filesize": 273738, "_sha256": "ebff9d928b375e8b1a2fb9f373c17b73360df0c1bcec26ffa19c7092fccae24d", "_created": "2026-06-08T11:15:07.000Z", "_published": "2026-06-08T11:17:57.489Z", "_distro": "noble", "_jobs": [ { "job": 80081448366, "time": 127, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7478661674" }, { "job": 80081448537, "time": 127, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7478661620" }, { "job": 80080614197, "time": 291, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7478615014" }, { "job": 80081448352, "time": 126, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7478660857" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27133503919", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/DIETCOST", "_commit": { "id": "a523dc8fe73721988674473fc0743816dc9b101e", "author": "Henrique Bracarense ", "committer": "cran-robot ", "message": "version 1.0.0.0\n", "time": 1746799816 }, "_maintainer": { "name": "Henrique Bracarense", "email": "hbracarense@hotmail.com", "login": "hbracarense", "uuid": 88412232 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "readxl", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "tidyselect", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "xlsx", "role": "Imports" }, { "package": "magrittr", "role": "Imports" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "hbracarense", "count": 1, "uuid": 88412232 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 585, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DIETCOST" }, "_devurl": "https://github.com/hbracarense/dietcost", "_searchresults": 5, "_topics": [ "openjdk" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/DIETCOST.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/hbracarense/dietcost", "_realowner": "hbracarense", "_cranurl": false, "_releases": [ { "version": "1.0.0.0", "date": "2025-05-09" } ], "_exports": [ "%>%", "add_float_range", "add_range", "addConstraintData", "addEmissionData", "addFoodGroupsConstraintData", "addNutrientData", "addPriceData", "calculateGroupedResults", "calculateResults", "check_function", "check_id_defined", "check_match_food_price", "check_match_individual_diet", "check_min_exists", "check_nom_num_df", "check_non_num", "check_spelling", "check_variety", "checkLinkedFoods", "checks_optional_food_groups", "checkZeroDiff", "converts_dataframe", "convertWeeklyFoodGroups", "convertWeeklyNutrientTargets", "createFoodData", "createFoodGroupData", "createNutrientTargets", "createRandomMeal", "diff_calc", "energy_conversor", "foodData", "foodGroupData", "getDifference", "getFoodGroupServes", "getNutrients", "getPerc", "join_function", "monteCarlo", "monteCarloSimulation", "nutrientDataCalculation", "permitted_individuals", "priceEmissionData", "printResults", "redmeat_check", "remove_suffix", "sample_safe", "sauces_protein_discretionary_change", "standard_name_check", "starchy_fill", "treat_df", "treat_groups_df", "unique_values", "upload_data" ], "_datasets": [ { "name": "food_groups", "title": "Food groups dataset example", "object": "food_groups", "class": [ "data.frame" ], "fields": [ "food_group", "food_group_id", "man_min_g_C", "man_max_g_C", "man_target_g_C", "man_min_serve_C", "man_max_serve_C", "man_target_serve_C", "woman_min_g_C", "woman_max_g_C", "woman_target_g_C", "woman_min_serve_C", "woman_max_serve_C", "woman_target_serve_C", "boy_min_g_C", "boy_max_g_C", "boy_target_g_C", "boy_min_serve_C", "boy_max_serve_C", "boy_target_serve_C", "girl_min_g_C", "girl_max_g_C", "girl_target_g_C", "girl_min_serve_C", "girl_max_serve_C", "girl_target_serve_C", "man_min_g_PF", "man_max_g_PF", "man_target_g_PF", "man_min_serve_PF", "man_max_serve_PF", "man_target_serve_PF", "woman_min_g_PF", "woman_max_g_PF", "woman_target_g_PF", "woman_min_serve_PF", "woman_max_serve_PF", "woman_target_serve_PF", "boy_min_g_PF", "boy_max_g_PF", "boy_target_g_PF", "boy_min_serve_PF", "boy_max_serve_PF", "boy_target_serve_PF", "girl_min_g_PF", "girl_max_g_PF", "girl_target_g_PF", "girl_min_serve_PF", "girl_max_serve_PF", "girl_target_serve_PF", "man_min_g_H", "man_max_g_H", "man_target_g_H", "man_min_serve_H", "man_max_serve_H", "man_target_serve_H", "woman_min_g_H", "woman_max_g_H", "woman_target_g_H", "woman_min_serve_H", "woman_max_serve_H", "woman_target_serve_H", "boy_min_g_H", "boy_max_g_H", "boy_target_g_H", "boy_min_serve_H", "boy_max_serve_H", "boy_target_serve_H", "girl_min_g_H", "girl_max_g_H", "girl_target_g_H", "girl_min_serve_H", "girl_max_serve_H", "girl_target_serve_H" ], "rows": 12, "table": true, "tojson": true }, { "name": "foods", "title": "Foods dataset example", "object": "foods", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "food_group", "food_group_id", "food_name", "food_id", "variety", "redmeat", "CF_gCO2eq", "WF_l", "EF_g_m2", "serve_size_C", "man_min_C", "woman_min_C", "boy_min_C", "girl_min_C", "man_max_C", "woman_max_C", "boy_max_C", "girl_max_C", "serve_size_PF", "man_min_PF", "woman_min_PF", "boy_min_PF", "girl_min_PF", "man_max_PF", "woman_max_PF", "boy_max_PF", "girl_max_PF", "serve_size_H", "man_min_H", "woman_min_H", "boy_min_H", "girl_min_H", "man_max_H", "woman_max_H", "boy_max_H", "girl_max_H", "energy_kj_g", "fat_g", "sat_fat_g", "CHO_g", "sugars_g", "fibre_g", "protein_g", "sodium_mg", "price" ], "rows": 99, "table": true, "tojson": true }, { "name": "nutrient_targets", "title": "Nutrients dataset example", "object": "nutrient_targets", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "individual", "diet", "energy_kj_min", "energy_kj_max", "fat_grams_min", "fat_grams_max", "sat_fat_grams_min", "sat_fat_grams_max", "CHO_grams_min", "CHO_grams_max", "sugars_grams_min", "sugars_grams_max", "fibre_grams_min", "fibre_grams_max", "protein_grams_min", "protein_grams_max", "sodium_mgrams_min", "sodium_mgrams_max", "protein_perc_min", "protein_perc_max", "sat_fat_perc_min", "sat_fat_perc_max", "fat_perc_min", "fat_perc_max", "CHO_perc_min", "CHO_perc_max", "redmeat_grams_min", "redmeat_grams_max", "fruit_serve_min", "fruit_serve_max", "starchy_veg_serve_min", "starchy_veg_serve_max", "veg_serve_min", "veg_serve_max", "dairy_serve_min", "dairy_serve_max", "grain_serve_min", "grain_serve_max", "protein_serve_min", "protein_serve_max", "sugars_perc_min", "sugars_perc_max", "alcohol_perc_min", "alcohol_perc_max", "discretionary_perc_min", "discretionary_perc_max", "takeaway_perc_min", "takeaway_perc_max" ], "rows": 12, "table": true, "tojson": true } ], "_help": [ { "page": "add_float_range", "title": "Float range", "topics": [ "add_float_range" ] }, { "page": "add_range", "title": "Discrete range", "topics": [ "add_range" ] }, { "page": "addConstraintData", "title": "Food constraint data addition", "topics": [ "addConstraintData" ] }, { "page": "addEmissionData", "title": "Emission data addition", "topics": [ "addEmissionData" ] }, { "page": "addFoodGroupsConstraintData", "title": "Food group constraint data addition", "topics": [ "addFoodGroupsConstraintData" ] }, { "page": "addNutrientData", "title": "Nutrients data addition", "topics": [ "addNutrientData" ] }, { "page": "addPriceData", "title": "Price data addition", "topics": [ "addPriceData" ] }, { "page": "calculateGroupedResults", "title": "Calculates grouped results for a Monte Carlo Simulation", "topics": [ "calculateGroupedResults" ] }, { "page": "calculateResults", "title": "Calculates results for a Monte Carlo Simulation", "topics": [ "calculateResults" ] }, { "page": "check_function", "title": "Missing value check", "topics": [ "check_function" ] }, { "page": "check_id_defined", "title": "ID mismatch check", "topics": [ "check_id_defined" ] }, { "page": "check_match_food_price", "title": "Food/price mismatch check", "topics": [ "check_match_food_price" ] }, { "page": "check_match_individual_diet", "title": "Individual/diet mismatch check", "topics": [ "check_match_individual_diet" ] }, { "page": "check_min_exists", "title": "Minimum intake food groups check", "topics": [ "check_min_exists" ] }, { "page": "check_nom_num_df", "title": "Applies non-nummeric value check to entire dataframe", "topics": [ "check_nom_num_df" ] }, { "page": "check_non_num", "title": "Non-numeric check", "topics": [ "check_non_num" ] }, { "page": "check_spelling", "title": "Spellcheck", "topics": [ "check_spelling" ] }, { "page": "check_variety", "title": "Variety check", "topics": [ "check_variety" ] }, { "page": "checkLinkedFoods", "title": "Linked foods check", "topics": [ "checkLinkedFoods" ] }, { "page": "checks_optional_food_groups", "title": "Optional food groups check", "topics": [ "checks_optional_food_groups" ] }, { "page": "checkZeroDiff", "title": "All zero difference check", "topics": [ "checkZeroDiff" ] }, { "page": "converts_dataframe", "title": "Weekly conversion", "topics": [ "converts_dataframe" ] }, { "page": "convertWeeklyFoodGroups", "title": "Food group serves conversion", "topics": [ "convertWeeklyFoodGroups" ] }, { "page": "convertWeeklyNutrientTargets", "title": "Nutrient targets conversion", "topics": [ "convertWeeklyNutrientTargets" ] }, { "page": "createFoodData", "title": "Food data creation", "topics": [ "createFoodData" ] }, { "page": "createFoodGroupData", "title": "Food group data creation", "topics": [ "createFoodGroupData" ] }, { "page": "createNutrientTargets", "title": "Nutrients data addition", "topics": [ "createNutrientTargets" ] }, { "page": "createRandomMeal", "title": "Random meal plan", "topics": [ "createRandomMeal" ] }, { "page": "diff_calc", "title": "Difference calculator", "topics": [ "diff_calc" ] }, { "page": "energy_conversor", "title": "MJ to KJ conversion", "topics": [ "energy_conversor" ] }, { "page": "food_groups", "title": "Food groups dataset example", "topics": [ "food_groups" ] }, { "page": "foodData", "title": "Single-function food dataframe creation", "topics": [ "foodData" ] }, { "page": "foodGroupData", "title": "Single-function food group dataframe creation", "topics": [ "foodGroupData" ] }, { "page": "foods", "title": "Foods dataset example", "topics": [ "foods" ] }, { "page": "getDifference", "title": "General difference calculation", "topics": [ "getDifference" ] }, { "page": "getFoodGroupServes", "title": "Food group serves calculator", "topics": [ "getFoodGroupServes" ] }, { "page": "getNutrients", "title": "Nutrients values calculator", "topics": [ "getNutrients" ] }, { "page": "getPerc", "title": "Percentage values calculator", "topics": [ "getPerc" ] }, { "page": "join_function", "title": "Join function", "topics": [ "join_function" ] }, { "page": "monteCarlo", "title": "Monte Carlo simulation", "topics": [ "monteCarlo" ] }, { "page": "monteCarloSimulation", "title": "Single-function Monte Carlo simulation and results export.", "topics": [ "monteCarloSimulation" ] }, { "page": "nutrient_targets", "title": "Nutrients dataset example", "topics": [ "nutrient_targets" ] }, { "page": "nutrientDataCalculation", "title": "Nutrient data application to random meal plan created", "topics": [ "nutrientDataCalculation" ] }, { "page": "permitted_individuals", "title": "Permitted individuals check", "topics": [ "permitted_individuals" ] }, { "page": "priceEmissionData", "title": "Price/emission data application to random meal plan created", "topics": [ "priceEmissionData" ] }, { "page": "printResults", "title": "Exportation of Monte Carlo results", "topics": [ "printResults" ] }, { "page": "random_plan", "title": "Random deletion", "topics": [ "random_plan" ] }, { "page": "redmeat_check", "title": "Redmeat flag", "topics": [ "redmeat_check" ] }, { "page": "remove_suffix", "title": "Suffix removal", "topics": [ "remove_suffix" ] }, { "page": "sample_safe", "title": "Safe sampling", "topics": [ "sample_safe" ] }, { "page": "sauces_protein_discretionary_change", "title": "Sauces, protein and discretionary food groups treatment", "topics": [ "sauces_protein_discretionary_change" ] }, { "page": "standard_name_check", "title": "Standard name check", "topics": [ "standard_name_check" ] }, { "page": "starchy_fill", "title": "Starchy vegetables serves addition", "topics": [ "starchy_fill" ] }, { "page": "treat_df", "title": "Pre-treatment of constraint data", "topics": [ "treat_df" ] }, { "page": "treat_groups_df", "title": "Treatment of food group constraints dataframe", "topics": [ "treat_groups_df" ] }, { "page": "unique_values", "title": "Unique value check", "topics": [ "unique_values" ] }, { "page": "upload_data", "title": "Data upload", "topics": [ "upload_data" ] } ], "_readme": "https://github.com/cran/DIETCOST/raw/HEAD/README.md", "_rundeps": [ "cellranger", "cli", "cpp11", "crayon", "dplyr", "generics", "glue", "hms", "lifecycle", "magrittr", "pillar", "pkgconfig", "prettyunits", "progress", "R6", "readxl", "rematch", "rJava", "rlang", "tibble", "tidyselect", "utf8", "vctrs", "withr", "xlsx", "xlsxjars" ], "_sysdeps": [ { "shlib": "libjvm", "package": "openjdk-21-jre-headless", "headers": "openjdk-21-jre-headless", "source": "openjdk", "version": "21.0.11+10-1~24.04.2", "name": "openjdk", "homepage": "https://openjdk.java.net/", "description": "OpenJDK Java runtime, using Hotspot JIT (headless)" } ], "_score": 1.6989700043360187, "_indexed": false, "_nocasepkg": "dietcost", "_universes": [ "cran" ], "_indexurl": "https://hbracarense.r-universe.dev/DIETCOST", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0.0", "date": "2026-06-08T11:17:10.000Z", "distro": "noble", "commit": "a523dc8fe73721988674473fc0743816dc9b101e", "fileid": "75c62c1529c05787bc14cc069609874c5bfab671680b517782cfd4788e1f11f6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27133503919" }, { "r": "4.6.0", "os": "linux", "version": "1.0.0.0", "date": "2026-06-08T11:17:08.000Z", "distro": "noble", "commit": "a523dc8fe73721988674473fc0743816dc9b101e", "fileid": "9bfb19ab826a36171d0cfaa4d3abf51c02f210b6c6bf80e33c0289f9f3821124", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27133503919" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0.0", "date": "2026-06-08T11:17:35.000Z", "commit": "a523dc8fe73721988674473fc0743816dc9b101e", "fileid": "6a6ee97fd2a3a0e771fe99fbeca48fc98e95e9913b9928d0e6b3793f45f46c92", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/27133503919" } ] }