{ "_id": "6a2914e3732311cd87598ced", "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", "Config/pak/sysreqs": "make default-jdk", "Repository": "https://hbracarense.r-universe.dev", "Date/Publication": "2025-05-11 04:26:44 UTC", "RemoteUrl": "https://github.com/hbracarense/dietcost", "RemoteRef": "HEAD", "RemoteSha": "59ef942f663f9bbaab8deade1a6f83e5407ce304", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-10 07:33:33 UTC", "User": "root" }, "Author": "Henrique Bracarense [cre, aut] (ORCID:\n),\nThais Marquezine [aut] (ORCID: ),\nRafael Claro [aut] (ORCID: )", "Maintainer": "Henrique Bracarense ", "MD5sum": "db2beb6c9d52bde9f97915f378fa1e81", "_user": "hbracarense", "_type": "src", "_file": "DIETCOST_1.0.0.0.tar.gz", "_fileid": "083f7b2c3dc79a86d8001a16f85b28ad3fac371b942c02a3a0b9cb6f3f8f65c7", "_filesize": 270595, "_sha256": "083f7b2c3dc79a86d8001a16f85b28ad3fac371b942c02a3a0b9cb6f3f8f65c7", "_created": "2026-06-10T07:33:33.000Z", "_published": "2026-06-10T07:40:19.501Z", "_distro": "noble", "_jobs": [ { "job": 80505478404, "time": 149, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7529332325" }, { "job": 80505478444, "time": 133, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7529327149" }, { "job": 80505478464, "time": 163, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7529392240" }, { "job": 80505478390, "time": 163, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7529397413" }, { "job": 80504813168, "time": 241, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7529279911" }, { "job": 80505478365, "time": 131, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7529326019" }, { "job": 80505478421, "time": 120, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7529322347" }, { "job": 80505478443, "time": 138, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7529328331" }, { "job": 80505478418, "time": 111, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7529319467" } ], "_buildurl": "https://github.com/r-universe/hbracarense/actions/runs/27260492710", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/hbracarense/dietcost", "_commit": { "id": "59ef942f663f9bbaab8deade1a6f83e5407ce304", "author": "zzz13hj ", "committer": "zzz13hj ", "message": "Updated README.md and created NEWS.md\n", "time": 1746937604 }, "_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": "hbracarense", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 2, "_contributors": [ { "user": "hbracarense", "count": 36, "uuid": 88412232 } ], "_userbio": { "uuid": 88412232, "type": "user", "name": "Henrique Bracarense", "description": "Data scientist, MSc in Economics. Researcher (main interests: Health Economics and Finance of Sustainable Development).\r\n\r\nLanguages: Python/R." }, "_downloads": { "count": 549, "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": true, "_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", 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"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" ] }, { 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