{ "_id": "6aad79f83d719c1f8407783b", "Package": "mlba", "Type": "Package", "Title": "MLBA - Machine Learning for Business Analytics Concepts,\nTechniques, and Applications in R", "Version": "2.0.0", "Author": "Peter Gedeck", "Maintainer": "Peter Gedeck ", "Description": "Source code and datasets for \"Machine Learning for\nBusiness Analytics Concepts, Techniques, and Applications in R\"\nby Galit Shmueli, Peter C. Bruce, Peter Gedeck, Inbal Yahav,\nNitin R. Patel. Publisher: Wiley; 2nd edition (February, 2023)\nISBN: 978-1-118-83517-2", "License": "GPL (>= 2)", "URL": "https://github.com/gedeck/mlba-r", "BugReports": "https://github.com/gedeck/mlba-r/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "StagedInstall": "no", "LazyDataCompression": "bzip2", "Repository": "https://gedeck.r-universe.dev", "Date/Publication": "2026-09-18 16:00:52 UTC", "RemoteUrl": "https://github.com/gedeck/mlba-r", "RemoteRef": "HEAD", "RemoteSha": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-18 17:45:02 UTC", "User": "root" }, "_user": "gedeck", "_type": "src", "_file": "mlba_2.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/a20e563d6b052a20a1ca3871241a5f3d034f822421cd5dd7c401ef67f8b0e974", "_filesize": 13389980, "_sha256": "a20e563d6b052a20a1ca3871241a5f3d034f822421cd5dd7c401ef67f8b0e974", "_expires": "2026-12-27T17:50:44.000Z", "_created": "2026-09-18T17:45:02.000Z", "_published": "2026-09-18T17:50:48.117Z", "_jobs": [ { "job": 105701480347, "time": 258, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "10560217417" }, { "job": 105701480464, "time": 273, "config": "linux-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "10560422376" }, { "job": 105701480690, "time": 201, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "10559719325" }, { "job": 105701480427, "time": 210, "config": "macos-release-arm64", "r": "4.6.1", "check": "WARNING", "artifact": "10560741631" }, { "job": 105700211915, "time": 241, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10560456518" }, { "job": 105701480504, "time": 165, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10560601845" }, { "job": 105701480535, "time": 199, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "10559734411" }, { "job": 105701480586, "time": 162, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "WARNING", "artifact": "10560092696" }, { "job": 105701480555, "time": 167, "config": "windows-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "10559749340" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645", "_status": "success", "_upstream": "https://github.com/gedeck/mlba-r", "_commit": { "id": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "author": "Peter Gedeck ", "committer": "Peter Gedeck ", "message": "Initial commit: mlba R package\n\nStandard R package layout at the repository root: DESCRIPTION, NAMESPACE,\nR/, man/, data/, inst/, plus data-raw/ and renv/ for development.\n\nSource code and datasets for \"Machine Learning for Business Analytics:\nConcepts, Techniques, and Applications in R\" by Galit Shmueli,\nPeter C. Bruce, Peter Gedeck, Inbal Yahav, Nitin R. Patel.\n\nCo-Authored-By: Claude Opus 5 (1M context) \n", "time": 1789747252 }, "_maintainer": { "name": "Peter Gedeck", "email": "peter.gedeck@gmail.com", "login": "gedeck", "description": "", "uuid": 8720575 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "caret", "role": "Depends" }, { "package": "forecast", "role": "Depends" } ], "_owner": "gedeck", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-38", "n": 1 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "gedeck", "count": 1, "uuid": 8720575 } ], "_userbio": { "uuid": 8720575, "type": "user", "name": "Peter Gedeck", "followers": 590 }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mlba" }, "_devurl": "https://github.com/gedeck/mlba-r", "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/mlba.html", "extra/readme.html", "extra/readme.md" ], "_cranurl": false, "_exports": [ "AutosElectronics", "regressionSummary" ], "_datasets": [ { "name": "Accidents", "title": "Accidents", "object": "accidents", "class": [ "data.frame" ], "fields": [ "RushHour", "WRK_ZONE", "WKDY", "INT_HWY", "LGTCON_day", "LEVEL", "SPD_LIM", "SUR_COND_dry", "TRAF_two_way", "WEATHER_adverse", "MAX_SEV" ], "rows": 600, "table": true, "tojson": true }, { "name": "Accidents1000", "title": "Accidents1000", "object": "Accidents1000", "class": [ "data.frame" ], "fields": [ "RushHour", "WRK_ZONE", "WKDY", "INT_HWY", "LGTCON_day", "LEVEL", "SPD_LIM", "SUR_COND_dry", "TRAF_two_way", "WEATHER_adverse", "MAX_SEV" ], "rows": 1000, "table": true, "tojson": true }, { "name": "AccidentsFull", "title": "Accidents", "object": "accidentsFull", "class": [ "data.frame" ], "fields": [ "HOUR_I_R", "ALCHL_I", "ALIGN_I", "STRATUM_R", "WRK_ZONE", "WKDY_I_R", "INT_HWY", "LGTCON_I_R", "MANCOL_I_R", "PED_ACC_R", "RELJCT_I_R", "REL_RWY_R", "PROFIL_I_R", "SPD_LIM", "SUR_COND", "TRAF_CON_R", "TRAF_WAY", "VEH_INVL", "WEATHER_R", "INJURY_CRASH", "NO_INJ_I", "PRPTYDMG_CRASH", "FATALITIES", "MAX_SEV_IR" ], "rows": 42183, "table": true, "tojson": true }, { "name": "AccidentsNN", "title": "AccidentsNN", "object": "accidentsnn", "class": [ "data.frame" ], "fields": [ "ALCHL_I", "PROFIL_I_R", "SUR_COND", "VEH_INVL", "MAX_SEV_IR" ], "rows": 999, "table": true, "tojson": true }, { "name": "Airfares", "title": "Airfares", "object": "Airfares", "class": [ "data.frame" ], "fields": [ "S_CODE", "S_CITY", "E_CODE", "E_CITY", "COUPON", "NEW", "VACATION", "SW", "HI", "S_INCOME", "E_INCOME", "S_POP", "E_POP", "SLOT", "GATE", "DISTANCE", "PAX", "FARE" ], "rows": 638, "table": true, "tojson": true }, { "name": "Amtrak", "title": "Amtrak", "object": "Amtrak", "class": [ "data.frame" ], "fields": [ "Month", "Ridership" ], "rows": 159, "table": true, "tojson": true }, { "name": "ApplianceShipments", "title": "Applicance Shipments", "object": "ApplianceShipments", "class": [ "data.frame" ], "fields": [ "Quarter", "Shipments" ], "rows": 20, "table": true, "tojson": true }, { "name": "AustralianWines", "title": "AustralianWines", "object": "AustralianWines", "class": [ "data.frame" ], "fields": [ "month", "fortified", "red", "rose", "sparkling", "sweet.white", "dry.white" ], "rows": 180, "table": true, "tojson": true }, { "name": "BankBiasData", "title": "BankBiasData", "object": "BankBiasData", "class": [ "data.frame" ], "fields": [ "age", "job", "marital", "education", "default", "balance", "housing", "loan", "contact", "day", "month", "duration", "campaign", "pdays", "previous", "poutcome", "y" ], "rows": 45211, "table": true, "tojson": true }, { "name": "Banks", "title": "Banks", "object": "banks", "class": [ "data.frame" ], "fields": [ "Obs", "Financial.Condition", "TotCap.Assets", "TotExp.Assets", "TotLns.Lses.Assets" ], "rows": 20, "table": true, "tojson": true }, { "name": "BareggTunnel", "title": "BareggTunnel", "object": "BareggTunnel", "class": [ "data.frame" ], "fields": [ "Day", "Number.of.vehicles" ], "rows": 747, "table": true, "tojson": true }, { "name": "BathSoapHousehold", "title": "BathSoapHousehold", "object": "BathSoapHousehold", "class": [ "data.frame" ], "fields": [ "Member.id", "SEC", "FEH", "MT", "SEX", "AGE", "EDU", "HS", "CHILD", "CS", "Affluence.Index", "No..of.Brands", "Brand.Runs", "Total.Volume", "No..of..Trans", "Value", "Trans...Brand.Runs", "Vol.Tran", "Avg..Price", "Pur.Vol.No.Promo....", "Pur.Vol.Promo.6..", "Pur.Vol.Other.Promo..", "Br..Cd..57..144", "Br..Cd..55", "Br..Cd..272", "Br..Cd..286", "Br..Cd..24", "Br..Cd..481", "Br..Cd..352", "Br..Cd..5", "Others.999", "Pr.Cat.1", "Pr.Cat.2", "Pr.Cat.3", "Pr.Cat.4", "PropCat.5", "PropCat.6", "PropCat.7", "PropCat.8", "PropCat.9", "PropCat.10", "PropCat.11", "PropCat.12", "PropCat.13", "PropCat.14", "PropCat.15" ], "rows": 600, "table": true, "tojson": true }, { "name": "Bicup2006", "title": "Bicup2006", "object": "bicup2006", "class": [ "data.frame" ], "fields": [ "DATE", "TIME", "DEMAND" ], "rows": 1512, "table": true, "tojson": true }, { "name": "BostonHousing", "title": "Boston Housing", "object": "BostonHousing", "class": [ "data.frame" ], "fields": [ "CRIM", "ZN", "INDUS", "CHAS", "NOX", "RM", "AGE", "DIS", "RAD", "TAX", "PTRATIO", "LSTAT", "MEDV", "CAT.MEDV" ], "rows": 506, "table": true, "tojson": true }, { "name": "CanadianWorkHours", "title": "CanadianWorkHours", "object": "CanadianWorkHours", "class": [ "data.frame" ], "fields": [ "Year", "Hours" ], "rows": 35, "table": true, "tojson": true }, { "name": "CatalogCrossSell", "title": "CatalogCrossSell", "object": "CatalogCrossSell", "class": [ "data.frame" ], "fields": [ "Customer.Number", "Clothing.Division", "Housewares.Division", "Health.Products.Division", "Automotive.Division", "Personal.Electronics.Division", "Computers.Division", "Garden.Division", "Novelty.Gift.Division", "Jewelry.Division" ], "rows": 4998, "table": true, "tojson": true }, { "name": "Cereals", "title": "Cereals", "object": "Cereals", "class": [ "data.frame" ], "fields": [ "name", "mfr", "type", "calories", "protein", "fat", "sodium", "fiber", "carbo", "sugars", "potass", "vitamins", "shelf", "weight", "cups", "rating" ], "rows": 77, "table": true, "tojson": true }, { "name": "CharlesBookClub", "title": "Charles Book Club", "object": "CharlesBookClub", "class": [ "data.frame" ], "fields": [ "Seq.", "ID.", "Gender", "M", "R", "F", "FirstPurch", "ChildBks", "YouthBks", "CookBks", "DoItYBks", "RefBks", "ArtBks", "GeogBks", "ItalCook", "ItalAtlas", "ItalArt", "Florence", "Related.Purchase", "Mcode", "Rcode", "Fcode", "Yes_Florence", "No_Florence" ], "rows": 4000, "table": true, "tojson": true }, { "name": "COMPAS_clean", "title": "COMPAS clean", "object": "COMPAS_clean", "class": [ "data.frame" ], "fields": [ "id", "age_cat", "c_charge_degree", "race", "sex", "priors_count", "two_year_recid" ], "rows": 5304, "table": true, "tojson": true }, { "name": "Cosmetics", "title": "Cosmetics", "object": "Cosmetics", "class": [ "data.frame" ], "fields": [ "Trans.", "Bag", "Blush", "Nail.Polish", "Brushes", "Concealer", "Eyebrow.Pencils", "Bronzer", "Lip.liner", "Mascara", "Eye.shadow", "Foundation", "Lip.Gloss", "Lipstick", "Eyeliner" ], "rows": 1000, "table": true, "tojson": true }, { "name": "CourseRating", "title": "CourseRating", "object": "courserating", "class": [ "data.frame" ], "fields": [ "X", "SQL", "Spatial", "PA1", "DM.in.R", "Python", "Forecast", "R.Prog", "Hadoop", "Regression" ], "rows": 15, "table": true, "tojson": true }, { "name": "CourseTopics", "title": "CourseTopics", "object": "Coursetopics", "class": [ "data.frame" ], "fields": [ "Intro", "DataMining", "Survey", "Cat.Data", "Regression", "Forecast", "DOE", "SW" ], "rows": 365, "table": true, "tojson": true }, { "name": "DepartmentStoreSales", "title": "DepartmentStoreSales", "object": "DepartmentStoreSales", "class": [ "data.frame" ], "fields": [ "Quarter", "Sales" ], "rows": 24, "table": true, "tojson": true }, { "name": "Drug", "title": "Drug", "object": "drug", "class": [ "data.frame" ], "fields": [ "Entity", "Related.Entity", "Relationship", "Descrption", "Related.Entity.Address.1", "Related.Entity.Address.2", "Related.Address.3" ], "rows": 60, "table": true, "tojson": true }, { "name": "EastWestAirlinesCluster", "title": "EastWestAirlinesCluster", "object": "EastWestAirlinesCluster", "class": [ "data.frame" ], "fields": [ "ID.", "Balance", "Qual_miles", "cc1_miles", "cc2_miles", "cc3_miles", "Bonus_miles", "Bonus_trans", "Flight_miles_12mo", "Flight_trans_12", "Days_since_enroll", "Award." ], "rows": 3999, "table": true, "tojson": true }, { "name": "EastWestAirlinesNN", "title": "EastWestAirlinesNN", "object": "EastWestAirlinesNN", "class": [ "data.frame" ], "fields": [ "ID.", "Topflight", "Balance", "Qual_miles", "cc1_miles", "cc2_miles", "cc3_miles", "Bonus_miles", "Bonus_trans", "Flight_miles_12mo", "Flight_trans_12", "Online_12", "Email", "Club_member", "Any_cc_miles_12mo", "Phone_sale" ], "rows": 4987, "table": true, "tojson": true }, { "name": "eBayAuctions", "title": "ebay Auctions", "object": "eBayAuctions", "class": [ "data.frame" ], "fields": [ "Category", "currency", "sellerRating", "Duration", "endDay", "ClosePrice", "OpenPrice", "Competitive." ], "rows": 1972, "table": true, "tojson": true }, { "name": "eBayNetwork", "title": "ebay Network", "object": "eBayNetwork", "class": [ "data.frame" ], "fields": [ "Seller", "Bidder", "Weight", "Bidder.Volume", "Seller.Volume" ], "rows": 200, "table": true, "tojson": true }, { "name": "eBayTreemap", "title": "ebay Treemap", "object": "eBayTreemap", "class": [ "data.frame" ], "fields": [ "High.Bid", "Seller.Feedback", "Category", "Sub.Category", "Brand" ], "rows": 10078, "table": true, "tojson": true }, { "name": "EmailABtest", "title": "EmailABtest", "object": "EmailABtest", "class": [ "data.frame" ], "fields": [ "Customer", "Message", "Open." ], "rows": 426, "table": true, "tojson": true }, { "name": "Faceplate", "title": "Faceplate", "object": "Faceplate", "class": [ "data.frame" ], "fields": [ "Transaction", "Red", "White", "Blue", "Orange", "Green", "Yellow" ], "rows": 10, "table": true, "tojson": true }, { "name": "FarmAds", "title": "FarmAds", "object": "FarmAds", "class": [ "data.frame" ], "fields": [ "label", "text" ], "rows": 4143, "table": true, "tojson": true }, { "name": "FlightDelays", "title": "Flight delays", "object": "FlightDelays", "class": [ "data.frame" ], "fields": [ "CRS_DEP_TIME", "CARRIER", "DEP_TIME", "DEST", "DISTANCE", "FL_DATE", "FL_NUM", "ORIGIN", "Weather", "DAY_WEEK", "DAY_OF_MONTH", "TAIL_NUM", "Flight.Status" ], "rows": 2201, "table": true, "tojson": true }, { "name": "Fundraising", "title": "Fundraising", "object": "Fundraising", "class": [ "data.frame" ], "fields": [ "Row.Id", "Row.Id.", "zipconvert_2", "zipconvert_3", "zipconvert_4", "zipconvert_5", "homeowner.dummy", "NUMCHLD", "INCOME", "gender.dummy", "WEALTH", "HV", "Icmed", "Icavg", "IC15", "NUMPROM", "RAMNTALL", "MAXRAMNT", "LASTGIFT", "totalmonths", "TIMELAG", "AVGGIFT", "TARGET_B", "TARGET_D" ], "rows": 3120, "table": true, "tojson": true }, { "name": "FutureFundraising", "title": "FutureFundraising", "object": "FutureFundraising", "class": [ "data.frame" ], "fields": [ "Row.Id", "Row.Id.", "zipconvert_2", "zipconvert_3", "zipconvert_4", "zipconvert_5", "homeowner.dummy", "NUMCHLD", "INCOME", "gender.dummy", "WEALTH", "HV", "Icmed", "Icavg", "IC15", "NUMPROM", "RAMNTALL", "MAXRAMNT", "LASTGIFT", "totalmonths", "TIMELAG", "AVGGIFT", "TARGET_B", "TARGET_D" ], "rows": 2000, "table": true, "tojson": true }, { "name": "GDP", "title": "GDP", "object": "gdp", "class": [ "data.frame" ], "fields": [ "Country.Name", "Country.Code", "Indicator.Name", "Indicator.Code", "GDP2015" ], "rows": 264, "table": true, "tojson": true }, { "name": "GermanCredit", "title": "German credit", "object": "GermanCredit", "class": [ "data.frame" ], "fields": [ "OBS.", "CHK_ACCT", "DURATION", "HISTORY", "NEW_CAR", "USED_CAR", "FURNITURE", "RADIO.TV", "EDUCATION", "RETRAINING", "AMOUNT", "SAV_ACCT", "EMPLOYMENT", "INSTALL_RATE", "MALE_DIV", "MALE_SINGLE", "MALE_MAR_or_WID", "CO.APPLICANT", "GUARANTOR", "PRESENT_RESIDENT", "REAL_ESTATE", "PROP_UNKN_NONE", "AGE", "OTHER_INSTALL", "RENT", "OWN_RES", "NUM_CREDITS", "JOB", "NUM_DEPENDENTS", "TELEPHONE", "FOREIGN", "RESPONSE" ], "rows": 1000, "table": true, "tojson": true }, { "name": "HairCareProduct", "title": "Hair Care Product", "object": "HairCareProduct", "class": [ "data.frame" ], "fields": [ "Purchase", "Age", "Hair.Color", "U.S..Region", "Validation", "Promotion_ord", "Gender_ord", "Residence_ord" ], "rows": 10000, "table": true, "tojson": true }, { "name": "IMDBdataset10K", "title": "IMDBdataset10K", "object": "IMDBdataset10K", "class": [ "data.frame" ], "fields": [ "review", "sentiment" ], "rows": 10000, "table": true, "tojson": true }, { "name": "LaptopSales", "title": "Laptop Sales", "object": "LaptopSales", "class": [ "data.frame" ], "fields": [ "Date", "Configuration", "Customer.Postcode", "Store.Postcode", "Retail.Price", "Screen.Size..Inches.", "Battery.Life..Hours.", "RAM..GB.", "Processor.Speeds..GHz.", "Integrated.Wireless.", "HD.Size..GB.", "Bundled.Applications.", "customer.X", "customer.Y", "store.X", "store.Y" ], "rows": 297572, "table": true, "tojson": true }, { "name": "LaptopSalesJanuary2008", "title": "Laptop Sales January 2008", "object": "LaptopSalesJanuary2008", "class": [ "data.frame" ], "fields": [ "Date", "Configuration", "Customer.Postcode", "Store.Postcode", "Retail.Price", "Screen.Size..Inches.", "Battery.Life..Hours.", "RAM..GB.", "Processor.Speeds..GHz.", "Integrated.Wireless.", "HD.Size..GB.", "Bundled.Applications.", "OS.X.Customer", "OS.Y.Customer", "OS.X.Store", "OS.Y.Store", "CustomerStoreDistance" ], "rows": 7956, "table": true, "tojson": true }, { "name": "LiftExample", "title": "LiftExample", "object": "liftExample", "class": [ "data.frame" ], "fields": [ "prob", "actual" ], "rows": 24, "table": true, "tojson": true }, { "name": "MovieLensMovies", "title": "MovieLensMovies", "object": "MovieLensMovies", "class": [ "data.frame" ], "fields": [ "movieId", "title", "genres" ], "rows": 9742, "table": true, "tojson": true }, { "name": "MovieLensRatings", "title": "MovieLensRatings", "object": "MovieLensRatings", "class": [ "data.frame" ], "fields": [ "userId", "movieId", "rating", "timestamp" ], "rows": 100836, "table": true, "tojson": true }, { "name": "NaturalGasSales", "title": "NaturalGasSales", "object": "NaturalGasSales", "class": [ "data.frame" ], "fields": [ "Quarter", "Gas.Sales" ], "rows": 16, "table": true, "tojson": true }, { "name": "NYPDMotorVehicleCollisions", "title": "NYPD Motor Vehicle Collisions", "object": "NYPDMotorVehicleCollisions", "class": [ "data.frame" ], "fields": [ "DATE", "TIME", "BOROUGH", "ZIP.CODE", "LATITUDE", "LONGITUDE", "LOCATION", "ON.STREET.NAME", "CROSS.STREET.NAME", "OFF.STREET.NAME", "NUMBER.OF.PERSONS.INJURED", "NUMBER.OF.PERSONS.KILLED", "NUMBER.OF.PEDESTRIANS.INJURED", "NUMBER.OF.PEDESTRIANS.KILLED", "NUMBER.OF.CYCLIST.INJURED", "NUMBER.OF.CYCLIST.KILLED", "NUMBER.OF.MOTORIST.INJURED", "NUMBER.OF.MOTORIST.KILLED", "CONTRIBUTING.FACTOR.VEHICLE.1", "CONTRIBUTING.FACTOR.VEHICLE.2", "CONTRIBUTING.FACTOR.VEHICLE.3", "CONTRIBUTING.FACTOR.VEHICLE.4", "CONTRIBUTING.FACTOR.VEHICLE.5", "UNIQUE.KEY", "VEHICLE.TYPE.CODE.1", "VEHICLE.TYPE.CODE.2", "VEHICLE.TYPE.CODE.3", "VEHICLE.TYPE.CODE.4", "VEHICLE.TYPE.CODE.5" ], "rows": 1000, "table": true, "tojson": true }, { "name": "OwnerExample", "title": "OwnerExample", "object": "ownerExample", "class": [ "data.frame" ], "fields": [ "Class", "Probability" ], "rows": 24, "table": true, "tojson": true }, { "name": "Pharmaceuticals", "title": "Pharmaceuticals", "object": "Pharmaceuticals", "class": [ "data.frame" ], "fields": [ "Symbol", "Name", "Market_Cap", "Beta", "PE_Ratio", "ROE", "ROA", "Asset_Turnover", "Leverage", "Rev_Growth", "Net_Profit_Margin", "Median_Recommendation", "Location", "Exchange" ], "rows": 21, "table": true, "tojson": true }, { "name": "RidingMowers", "title": "Riding Mowers", "object": "RidingMowers", "class": [ "data.frame" ], "fields": [ "Income", "Lot_Size", "Ownership" ], "rows": 24, "table": true, "tojson": true }, { "name": "SCstudents", "title": "statistics.com Students", "object": "SCstudents", "class": [ "data.frame" ], "fields": [ "latitude", "longitude" ], "rows": 1696, "table": true, "tojson": true }, { "name": "Sept11Travel", "title": "Sept11Travel", "object": "Sept11Travel", "class": [ "data.frame" ], "fields": [ "Month", "Air.RPM..000s.", "Rail.PM", "VMT..billions." ], "rows": 172, "table": true, "tojson": true }, { "name": "ShampooSales", "title": "ShampooSales", "object": "ShampooSales", "class": [ "data.frame" ], "fields": [ "Month", "Shampoo.Sales" ], "rows": 36, "table": true, "tojson": true }, { "name": "SouvenirSales", "title": "SouvenirSales", "object": "SouvenirSales", "class": [ "data.frame" ], "fields": [ "Date", "Sales" ], "rows": 84, "table": true, "tojson": true }, { "name": "SP500", "title": "SP500", "object": "SP500", "class": [ "data.frame" ], "fields": [ "Date", "Close" ], "rows": 100, "table": true, "tojson": true }, { "name": "Spambase", "title": "Spambase", "object": "spambase", "class": [ "data.frame" ], "fields": [ "make", "address", "all", "W_3d", "our", "over", "remove", "internet", "order", "mail", "receive", "will", "people", "report", "addresses", "free", "business", "email", "you", "credit", "your", "font", "W_000", "money", "hp", "hpl", "george", "W_650", "lab", "labs", "telnet", "W_857", "data", "W_415", "W_85", "technology", "W_1999", "parts", "pm", "direct", "cs", "meeting", "original", "project", "re.", "edu", "table", "conference", "C.", "C..1", "C..2", "C..3", "C..4", "C..5", "CAP_avg", "CAP_long", "CAP_tot", "Spam" ], "rows": 4601, "table": true, "tojson": true }, { "name": "SystemAdministrators", "title": "System Administrator", "object": "SystemAdministrators", "class": [ "data.frame" ], "fields": [ "Experience", "Training", "Completed.task" ], "rows": 75, "table": true, "tojson": true }, { "name": "TaxiCancellationCase", "title": "Taxi Cancellation Case", "object": "TaxiCancellationCase", "class": [ "data.frame" ], "fields": [ "row.", "user_id", "vehicle_model_id", "package_id", "travel_type_id", "from_area_id", "to_area_id", "from_city_id", "to_city_id", "from_date", "to_date", "online_booking", "mobile_site_booking", "booking_created", "from_lat", "from_long", "to_lat", "to_long", "Car_Cancellation" ], "rows": 10000, "table": true, "tojson": true }, { "name": "Tayko", "title": "Tayko", "object": "Tayko", "class": [ "data.frame" ], "fields": [ "sequence_number", "US", "source_a", "source_c", "source_b", "source_d", "source_e", "source_m", "source_o", "source_h", "source_r", "source_s", "source_t", "source_u", "source_p", "source_x", "source_w", "Freq", "last_update_days_ago", "X1st_update_days_ago", "Web.order", "Gender.male", "Address_is_res", "Purchase", "Spending" ], "rows": 2000, "table": true, "tojson": true }, { "name": "TinyData", "title": "TinyData", "object": "TinyData", "class": [ "data.frame" ], "fields": [ "Obs.", "Fat", "Salt", "Acceptance" ], "rows": 6, "table": true, "tojson": true }, { "name": "ToyotaCorolla", "title": "Toyoto Corolla", "object": "ToyotaCorolla", "class": [ "data.frame" ], "fields": [ "Id", "Model", "Price", "Age_08_04", "Mfg_Month", "Mfg_Year", "KM", "Fuel_Type", "HP", "Met_Color", "Color", "Automatic", "CC", "Doors", "Cylinders", "Gears", "Quarterly_Tax", "Weight", "Mfr_Guarantee", "BOVAG_Guarantee", "Guarantee_Period", "ABS", "Airbag_1", "Airbag_2", "Airco", "Automatic_airco", "Boardcomputer", "CD_Player", "Central_Lock", "Powered_Windows", "Power_Steering", "Radio", "Mistlamps", "Sport_Model", "Backseat_Divider", "Metallic_Rim", "Radio_cassette", "Parking_Assistant", "Tow_Bar" ], "rows": 1436, "table": true, "tojson": true }, { "name": "ToysRUsRevenues", "title": "ToysRUsRevenues", "object": "ToysRUsRevenues", "class": [ "data.frame" ], "fields": [ "Index", "QuarterYear", "Revenue.in.million...", "Quarter" ], "rows": 16, "table": true, "tojson": true }, { "name": "UniversalBank", "title": "UniversalBank", "object": "UniversalBank", "class": [ "data.frame" ], "fields": [ "ID", "Age", "Experience", "Income", "ZIP.Code", "Family", "CCAvg", "Education", "Mortgage", "Personal.Loan", "Securities.Account", "CD.Account", "Online", "CreditCard" ], "rows": 5000, "table": true, "tojson": true }, { "name": "UniversalBankCase", "title": "UniversalBankCase", "object": "UniversalBankCase", "class": [ "data.frame" ], "fields": [ "ID", "Age", "Experience", "Income", "ZIP.Code", "Family", "CCAvg", "Education", "Mortgage", "Personal.Loan", "Securities.Account", "CD.Account", "Online", "CreditCard", "Race", "Gender", "Neighborhood" ], "rows": 5000, "table": true, "tojson": true }, { "name": "Universities", "title": "Universities", "object": "Universities", "class": [ "data.frame" ], "fields": [ "College.Name", "State", "Public..1...Private..2.", "X..appli..rec.d", "X..appl..accepted", "X..new.stud..enrolled", "X..new.stud..from.top.10.", "X..new.stud..from.top.25.", "X..FT.undergrad", "X..PT.undergrad", "in.state.tuition", "out.of.state.tuition", "room", "board", "add..fees", "estim..book.costs", "estim..personal..", "X..fac..w.PHD", "stud..fac..ratio", "Graduation.rate" ], "rows": 1302, "table": true, "tojson": true }, { "name": "Utilities", "title": "Utilities", "object": "Utilities", "class": [ "data.frame" ], "fields": [ "Company", "Fixed_charge", "RoR", "Cost", "Load_factor", "Demand_growth", "Sales", "Nuclear", "Fuel_Cost" ], "rows": 22, "table": true, "tojson": true }, { "name": "Veerhoven", "title": "Veerhoven.", "object": "Veerhoven", "class": [ "data.frame" ], "fields": [ "Serial", "Code", "Nation", "Score", "X..surveys" ], "rows": 159, "table": true, "tojson": true }, { "name": "VoterPersuasion", "title": "VoterPersuasion", "object": "VoterPersuasion", "class": [ "data.frame" ], "fields": [ "VOTER_ID", "SET_NO", "OPP_SEX", "AGE", "HH_ND", "HH_NR", "HH_NI", "MED_AGE", "NH_WHITE", "NH_AA", "NH_ASIAN", "NH_MULT", "HISP", "COMM_LT10", "COMM_609P", "MED_HH_INC", "COMM_CAR", "COMM_CP", "COMM_PT", "COMM_WALK", "KIDS", "M_MAR", "F_MAR", "ED_4COL", "GENDER_F", "GENDER_M", "H_AFDLN3P", "H_F1", "H_M1", "H_MFDLN3P", "PARTY_D", "PARTY_I", "PARTY_R", "VPP_08", "VPP_12", "VPR_08", "VPR_10", "VPR_12", "VG_04", "VG_06", "VG_08", "VG_10", "VG_12", "PP_PELIG", "PR_PELIG", "AP_PELIG", "G_PELIG", "E_PELIG", "NL5G", "NL3PR", "NL5AP", "NL2PP", "REG_DAYS", "UPSCALEBUY", "UPSCALEMAL", "UPSCALEFEM", "BOOKBUYERI", "FAMILYMAGA", "FEMALEORIE", "RELIGIOUSM", "GARDENINGM", "CULINARYIN", "HEALTHFITN", "DOITYOURSE", "FINANCIALM", "RELIGIOUSC", "POLITICALC", "MEDIANEDUC", "CAND1S", "CAND2S", "MESSAGE_A", "MESSAGE_A_REV", "I3", "CAND1_UND", "CAND2_UND", "MOVED_AD", "MOVED_A", "opposite", "Partition" ], "rows": 10000, "table": true, "tojson": true }, { "name": "WalMartStock", "title": "WalMartStock", "object": "WalMartStock", "class": [ "data.frame" ], "fields": [ "Date", "Close" ], "rows": 248, "table": true, "tojson": true }, { "name": "WestRoxbury", "title": "West Roxbury.", "object": "WestRoxbury", "class": [ "data.frame" ], "fields": [ "TOTAL.VALUE", "TAX", "LOT.SQFT", "YR.BUILT", "GROSS.AREA", "LIVING.AREA", "FLOORS", "ROOMS", "BEDROOMS", "FULL.BATH", "HALF.BATH", "KITCHEN", "FIREPLACE", "REMODEL" ], "rows": 5802, "table": true, "tojson": true }, { "name": "Wine", "title": "Wine.", "object": "Wine", "class": [ "data.frame" ], "fields": [ "Type", "Alcohol", "Malic_Acid", "Ash", "Ash_Alcalinity", "Magnesium", "Total_Phenols", "Flavanoids", "Nonflavanoid_Phenols", "Proanthocyanins", "Color_Intensity", "Hue", "OD280_OD315", "Proline" ], "rows": 178, "table": true, "tojson": true } ], "_help": [ { "page": "accidents", "title": "Accidents", "topics": [ "Accidents" ] }, { "page": "Accidents1000", "title": "Accidents1000", "topics": [ "Accidents1000" ] }, { "page": "accidentsFull", "title": "Accidents", "topics": [ "AccidentsFull" ] }, { "page": "accidentsnn", "title": "AccidentsNN", "topics": [ "AccidentsNN" ] }, { "page": "Airfares", "title": "Airfares", "topics": [ "Airfares" ] }, { "page": "Amtrak", "title": "Amtrak", "topics": [ "Amtrak" ] }, { "page": "ApplianceShipments", "title": "Applicance Shipments", "topics": [ "ApplianceShipments" ] }, { "page": "AustralianWines", "title": "AustralianWines", "topics": [ "AustralianWines" ] }, { "page": "AutosElectronics", "title": "AutosElectronics", "topics": [ "AutosElectronics" ] }, { "page": "BankBiasData", "title": "BankBiasData", "topics": [ "BankBiasData" ] }, { "page": "Banks", "title": "Banks", "topics": [ "Banks" ] }, { "page": "BareggTunnel", "title": "BareggTunnel", "topics": [ "BareggTunnel" ] }, { "page": "BathSoapHousehold", "title": "BathSoapHousehold", "topics": [ "BathSoapHousehold" ] }, { "page": "Bicup2006", "title": "Bicup2006", "topics": [ "Bicup2006" ] }, { "page": "BostonHousing", "title": "Boston Housing", "topics": [ "BostonHousing" ] }, { "page": "CanadianWorkHours", "title": "CanadianWorkHours", "topics": [ "CanadianWorkHours" ] }, { "page": "CatalogCrossSell", "title": "CatalogCrossSell", "topics": [ "CatalogCrossSell" ] }, { "page": "Cereals", "title": "Cereals", "topics": [ "Cereals" ] }, { "page": "CharlesBookClub", "title": "Charles Book Club", "topics": [ "CharlesBookClub" ] }, { "page": "COMPAS_clean", "title": "COMPAS clean", "topics": [ "COMPAS_clean" ] }, { "page": "Cosmetics", "title": "Cosmetics", "topics": [ "Cosmetics" ] }, { "page": "CourseRating", "title": "CourseRating", "topics": [ "CourseRating" ] }, { "page": "CourseTopics", "title": "CourseTopics", "topics": [ "CourseTopics" ] }, { "page": "DepartmentStoreSales", "title": "DepartmentStoreSales", "topics": [ "DepartmentStoreSales" ] }, { "page": "drug", "title": "Drug", "topics": [ "Drug" ] }, { "page": "EastWestAirlinesCluster", "title": "EastWestAirlinesCluster", "topics": [ "EastWestAirlinesCluster" ] }, { "page": "EastWestAirlinesNN", "title": "EastWestAirlinesNN", "topics": [ "EastWestAirlinesNN" ] }, { "page": "eBayAuctions", "title": "ebay Auctions", "topics": [ "eBayAuctions" ] }, { "page": "eBayNetwork", "title": "ebay Network", "topics": [ "eBayNetwork" ] }, { "page": "eBayTreemap", "title": "ebay Treemap", "topics": [ "eBayTreemap" ] }, { "page": "EmailABtest", "title": "EmailABtest", "topics": [ "EmailABtest" ] }, { "page": "Faceplate", "title": "Faceplate", "topics": [ "Faceplate" ] }, { "page": "FarmAds", "title": "FarmAds", "topics": [ "FarmAds" ] }, { "page": "FlightDelays", "title": "Flight delays", "topics": [ "FlightDelays" ] }, { "page": "Fundraising", "title": "Fundraising", "topics": [ "Fundraising" ] }, { "page": "FutureFundraising", "title": "FutureFundraising", "topics": [ "FutureFundraising" ] }, { "page": "GDP", "title": "GDP", "topics": [ "GDP" ] }, { "page": "GermanCredit", "title": "German credit", "topics": [ "GermanCredit" ] }, { "page": "HairCareProduct", "title": "Hair Care Product", "topics": [ "HairCareProduct" ] }, { "page": "IMDBdataset10K", "title": "IMDBdataset10K", "topics": [ "IMDBdataset10K" ] }, { "page": "LaptopSales", "title": "Laptop Sales", "topics": [ "LaptopSales" ] }, { "page": "LaptopSalesJanuary2008", "title": "Laptop Sales January 2008", "topics": [ "LaptopSalesJanuary2008" ] }, { "page": "liftExample", "title": "LiftExample", "topics": [ "LiftExample" ] }, { "page": "MovieLensMovies", "title": "MovieLensMovies", "topics": [ "MovieLensMovies" ] }, { "page": "MovieLensRatings", "title": "MovieLensRatings", "topics": [ "MovieLensRatings" ] }, { "page": "NaturalGasSales", "title": "NaturalGasSales", "topics": [ "NaturalGasSales" ] }, { "page": "NYPDMotorVehicleCollisions", "title": "NYPD Motor Vehicle Collisions", "topics": [ "NYPDMotorVehicleCollisions" ] }, { "page": "ownerExample", "title": "OwnerExample", "topics": [ "OwnerExample" ] }, { "page": "Pharmaceuticals", "title": "Pharmaceuticals", "topics": [ "Pharmaceuticals" ] }, { "page": "regressionSummary", "title": "regressionSummary", "topics": [ "regressionSummary" ] }, { "page": "RidingMowers", "title": "Riding Mowers", "topics": [ "RidingMowers" ] }, { "page": "SCstudents", "title": "statistics.com Students", "topics": [ "SCstudents" ] }, { "page": "Sept11Travel", "title": "Sept11Travel", "topics": [ "Sept11Travel" ] }, { "page": "ShampooSales", "title": "ShampooSales", "topics": [ "ShampooSales" ] }, { "page": "SouvenirSales", "title": "SouvenirSales", "topics": [ "SouvenirSales" ] }, { "page": "SP500", "title": "SP500", "topics": [ "SP500" ] }, { "page": "spambase", "title": "Spambase", "topics": [ "Spambase" ] }, { "page": "SystemAdministrators", "title": "System Administrator", "topics": [ "SystemAdministrators" ] }, { "page": "TaxiCancellationCase", "title": "Taxi Cancellation Case", "topics": [ "TaxiCancellationCase" ] }, { "page": "Tayko", "title": "Tayko", "topics": [ "Tayko" ] }, { "page": "TinyData", "title": "TinyData", "topics": [ "TinyData" ] }, { "page": "ToyotaCorolla", "title": "Toyoto Corolla", "topics": [ "ToyotaCorolla" ] }, { "page": "ToysRUsRevenues", "title": "ToysRUsRevenues", "topics": [ "ToysRUsRevenues" ] }, { "page": "UniversalBank", "title": "UniversalBank", "topics": [ "UniversalBank" ] }, { "page": "UniversalBankCase", "title": "UniversalBankCase", "topics": [ "UniversalBankCase" ] }, { "page": "Universities", "title": "Universities", "topics": [ "Universities" ] }, { "page": "Utilities", "title": "Utilities", "topics": [ "Utilities" ] }, { "page": "Veerhoven", "title": "Veerhoven.", "topics": [ "Veerhoven" ] }, { "page": "VoterPersuasion", "title": "VoterPersuasion", "topics": [ "VoterPersuasion" ] }, { "page": "WalMartStock", "title": "WalMartStock", "topics": [ "WalMartStock" ] }, { "page": "WestRoxbury", "title": "West Roxbury.", "topics": [ "WestRoxbury" ] }, { "page": "Wine", "title": "Wine.", "topics": [ "Wine" ] } ], "_readme": "https://github.com/gedeck/mlba-r/raw/HEAD/README.md", "_rundeps": [ "caret", "class", "cli", "clock", "codetools", "colorspace", "cpp11", "data.table", "diagram", "digest", "dplyr", "e1071", "farver", "foreach", "forecast", "fracdiff", "future", "future.apply", "generics", "ggplot2", "globals", "glue", "gower", "gtable", "hardhat", "ipred", "isoband", "iterators", "KernSmooth", "labeling", "lattice", "lava", "lifecycle", "listenv", "lmtest", "lubridate", "magrittr", "MASS", "Matrix", "ModelMetrics", "nlme", "nnet", "numDeriv", "parallelly", "pillar", "pkgconfig", "plyr", "pROC", "prodlim", "progressr", "proxy", "purrr", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "recipes", "reshape2", "rlang", "rpart", "S7", "scales", "shape", "sparsevctrs", "SQUAREM", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "timechange", "timeDate", "tzdb", "urca", "utf8", "vctrs", "viridisLite", "withr", "zoo" ], "_score": 1.6989700043360187, "_indexed": true, "_nocasepkg": "mlba", "_universes": [ "gedeck" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.0.0", "date": "2026-09-18T17:48:29.000Z", "distro": "resolute", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/f0c6600b73d8c06de0d78c395d20b7532279246fe10bf9c37322895c29964e7f", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.6.1", "os": "linux", "version": "2.0.0", "date": "2026-09-18T17:48:45.000Z", "distro": "resolute", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/69a14a545e519583a69e737005df9981efeee24903e6eccae203ca52b51b338b", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.5.3", "os": "mac", "version": "2.0.0", "date": "2026-09-18T17:47:55.000Z", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/2f83e6c02b175356f18b948260b849370febb397947aae33da991585d9bd7aa4", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.6.1", "os": "mac", "version": "2.0.0", "date": "2026-09-18T17:47:35.000Z", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/35bf16cf7cb7dcf8b86caf9ff8e12f2ef7107fc19be9e9937f1682a63b34a645", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.6.0", "os": "wasm", "version": "2.0.0", "date": "2026-09-18T17:48:14.000Z", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/66e73dec68b53d95337709cf33374baebf49cf651e05b7ab155af55a0a4dd79f", "status": "success", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.7.0", "os": "win", "version": "2.0.0", "date": "2026-09-18T17:47:01.000Z", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/0612d023d01eeb248ef4cc58b3abcbaea63674d7338fbedf3fac4d5e73efaf99", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.5.3", "os": "win", "version": "2.0.0", "date": "2026-09-18T17:47:13.000Z", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/76d7d4a9159e9ec20e13b7a23e48dcad6484eb33cc0b3c0df93385b218cbe75c", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" }, { "r": "4.6.1", "os": "win", "version": "2.0.0", "date": "2026-09-18T17:46:42.000Z", "commit": "f1a9a18ae491a8198737720230e022b8d36b7a8b", "fileid": "https://r2.ropensci.org/78369e29884a2af84275f9d5e3577e7eb2cded812e44bd0d6705afc421f85233", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/gedeck/actions/runs/35375800645" } ] }