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      "page": "hyper2-package",
      "title": "The Hyperdirichlet Distribution, Mark 2",
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      "title": "Translate attempts tables to hyper3 support functions",
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        "attemptstable2supp",
        "attemptstable2supp3",
        "rattemptstable"
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      "page": "B",
      "title": "Normalizing constant for the hyperdirichlet distribution",
      "topics": [
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        "e_to_p",
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        "baseball_table"
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        "carcinoma_table"
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        "chess_maxp",
        "chess_table",
        "rock_paper_scissors"
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    },
    {
      "page": "consistency",
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    {
      "page": "constructor",
      "title": "Formula 1 dataset: the constructors' championship",
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        "counterstrike_maxp",
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        "curling2",
        "curling2_maxp",
        "curling_maxp",
        "curling_table"
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      "page": "dirichlet",
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        "Dirichlet",
        "dirichlet",
        "dirichlet3",
        "GD",
        "gd",
        "GD_wong",
        "is.dirichlet",
        "Mosimann",
        "multinom",
        "rdirichlet",
        "rp_unif"
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    },
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      "page": "eurodance",
      "title": "Eurovision Dance contest dataset",
      "topics": [
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        "eurodance",
        "eurodance_maxp",
        "eurodance_table"
      ]
    },
    {
      "page": "eurovision",
      "title": "Eurovision Song contest dataset",
      "topics": [
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        "euro2009",
        "Eurovision",
        "eurovision",
        "Eurovision2009",
        "eurovision2009",
        "eurovision2009_votingtable",
        "eurovision_maxp",
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        "eurovision_table"
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    {
      "page": "Extract",
      "title": "Extract or replace parts of a hyper2 object",
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        "extract",
        "Extract.hyper2",
        "extractor",
        "overwrite_lowlevel",
        "[.hyper2",
        "[<-.hyper2"
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      "page": "fillup",
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      "topics": [
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    {
      "page": "formula1",
      "title": "Formula 1 dataset",
      "topics": [
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        "F1_2014",
        "F1_2015",
        "F1_2016",
        "F1_2017",
        "F1_2018",
        "F1_2019",
        "F1_points_2017",
        "F1_table_2016",
        "F1_table_2017",
        "F1_table_2018",
        "F1_table_2019",
        "formula1",
        "formula1_2017_table",
        "formula1_points_2017",
        "formula1_points_systems",
        "formula1_table_2017",
        "formula_1",
        "formula_one"
      ]
    },
    {
      "page": "ggrl",
      "title": "Order statistics",
      "topics": [
        "choose_losers",
        "choose_winners",
        "elimination",
        "general_grouped_order_likelihood",
        "general_grouped_rank_likelihood",
        "ggol",
        "ggrl",
        "goodbad",
        "Plackett",
        "Plackett-Luce",
        "race",
        "rankvec_likelihood",
        "rank_likelihood"
      ]
    },
    {
      "page": "gradient",
      "title": "Differential calculus",
      "topics": [
        "bordered_hessian",
        "gradient",
        "gradientn",
        "hessian",
        "hessian_bordered",
        "hessian_lowlevel",
        "is_ok_hessian"
      ]
    },
    {
      "page": "handover",
      "title": "Dataset on communication breakdown in handover between physicians",
      "topics": [
        "handoff",
        "handover",
        "handover_maxp",
        "handover_table",
        "malpractice"
      ]
    },
    {
      "page": "head.hyper2",
      "title": "First few terms of a distribution: DEPRECATED",
      "topics": [
        "head.hyper2"
      ]
    },
    {
      "page": "hepatitis",
      "title": "Hepatitis dataset discussed by Agresti",
      "topics": [
        "hepatitis",
        "hepatitis_count",
        "hepatitis_maxp",
        "hepatitis_table"
      ]
    },
    {
      "page": "hyper2",
      "title": "Basic functions in the hyper2 package",
      "topics": [
        "as.hyper2",
        "brackets",
        "brackets.hyper2",
        "hyper2",
        "is.hyper2",
        "is_constant",
        "is_valid_hyper2",
        "pnames",
        "pnames.hyper2",
        "pnames.suplist",
        "pnames<-",
        "pnames<-.hyper2",
        "powers",
        "powers.hyper2",
        "powers<-",
        "powers<-.hyper2",
        "size",
        "size.hyper2"
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    },
    {
      "page": "hyper3",
      "title": "Weighted probability vectors: 'hyper3' objects",
      "topics": [
        "as.hyper3",
        "as.namedvectorlist",
        "assign_lowlevel3",
        "hyper3",
        "hyper3_bw",
        "hyper3_m",
        "hyper3_nv",
        "hyper3_to_hyper2",
        "is.hyper3",
        "is_ok_weightedplayers",
        "is_valid_hyper3",
        "list2nv",
        "loglik_single_redundant",
        "maxp3",
        "overwrite_lowlevel3",
        "pnames<-.hyper3",
        "powers<-.hyper3"
      ]
    },
    {
      "page": "icons",
      "title": "Dataset on climate change due to O'Neill",
      "topics": [
        "icons",
        "icons_matrix",
        "icons_maxp",
        "icons_table",
        "oneill"
      ]
    },
    {
      "page": "increment",
      "title": "Increment and decrement operators",
      "topics": [
        "dec",
        "decrement",
        "inc",
        "increment"
      ]
    },
    {
      "page": "interzonal",
      "title": "1963 World Chess Championships",
      "topics": [
        "collusion",
        "curacao",
        "curacao3",
        "interzonal",
        "interzonal_collusion",
        "interzonal_collusion_maxp",
        "interzonal_maxp",
        "interzonal_table",
        "stockholm1962"
      ]
    },
    {
      "page": "javelin",
      "title": "Javelin dataset",
      "topics": [
        "javelin",
        "javelin2",
        "javelin2_maxp",
        "javelin_maxp",
        "javelin_table",
        "javelin_vector"
      ]
    },
    {
      "page": "jester",
      "title": "Jester dataset",
      "topics": [
        "humor",
        "humour",
        "jester",
        "jester_maxp",
        "jester_table",
        "jokes",
        "maxjest"
      ]
    },
    {
      "page": "karate",
      "title": "Karate dataset",
      "topics": [
        "karate",
        "karate_maxp",
        "karate_table",
        "karate_zermelo"
      ]
    },
    {
      "page": "kka",
      "title": "Karpov, Kasparov, Anand",
      "topics": [
        "black_wins",
        "chess3",
        "chess3_maxp",
        "drawn_games",
        "karpov_kasparov_anand",
        "kka",
        "kka_3draws",
        "kka_3whites",
        "kka_array",
        "plays_white_draws",
        "plays_white_loses",
        "plays_white_wins",
        "white_wins"
      ]
    },
    {
      "page": "keep",
      "title": "Keep or discard players",
      "topics": [
        "discard",
        "discard_flawed",
        "discard_flawed2",
        "drop",
        "drop_flawed",
        "keep",
        "keep_flawed",
        "keep_flawed2",
        "retain",
        "retain_flawed"
      ]
    },
    {
      "page": "length",
      "title": "Length method for hyper2 objects",
      "topics": [
        "length",
        "length.hyper2"
      ]
    },
    {
      "page": "loglik",
      "title": "Log likelihood functions",
      "topics": [
        "like_series",
        "like_single_list",
        "loglik",
        "loglik_single"
      ]
    },
    {
      "page": "masterchef",
      "title": "Masterchef series 6",
      "topics": [
        "MasterChef",
        "masterchef",
        "masterchef_constrained_maxp",
        "masterchef_maxp"
      ]
    },
    {
      "page": "matrix2supp",
      "title": "Convert a matrix to a likelihood function",
      "topics": [
        "matrix2supp",
        "matrix_to_HD",
        "saffy",
        "volley"
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    },
    {
      "page": "maxp",
      "title": "Maximum likelihood estimation",
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        "allequal",
        "equalp",
        "equalprobs",
        "maxp",
        "maxplist",
        "maxp_lsl",
        "maxp_simplex",
        "maxp_single",
        "maxp_single2"
      ]
    },
    {
      "page": "moto",
      "title": "MotoGP dataset",
      "topics": [
        "moto",
        "motoGP",
        "motoGP_2019",
        "moto_maxp",
        "moto_table"
      ]
    },
    {
      "page": "mult_grid",
      "title": "Kronecker matrix product functionality",
      "topics": [
        "mult_grid",
        "pair_grid"
      ]
    },
    {
      "page": "NBA",
      "title": "Basketball dataset",
      "topics": [
        "basketball",
        "NBA",
        "NBA_likelihood",
        "NBA_maxp",
        "NBA_table"
      ]
    },
    {
      "page": "Ops.hyper2",
      "title": "Arithmetic Ops Group Methods for hyper2 objects",
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        "hyper2_add",
        "hyper2_prod",
        "hyper2_sum_hyper2",
        "hyper2_sum_numeric",
        "Ops",
        "Ops.hyper2",
        "sum.hyper2"
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    },
    {
      "page": "Ops.hyper3",
      "title": "Arithmetic Ops Group Methods for hyper3 objects",
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        "hyper3_add",
        "hyper3_equal",
        "hyper3_prod",
        "hyper3_sum_numeric",
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        "sum.hyper3"
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    },
    {
      "page": "ordertable",
      "title": "Order tables",
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        "as.ordertable",
        "ordertable",
        "order_table",
        "print.ordertable",
        "[.ordertable"
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    },
    {
      "page": "ordertable2points",
      "title": "Calculate points from an order table",
      "topics": [
        "ordertable2points"
      ]
    },
    {
      "page": "ordertable2supp",
      "title": "Translate order tables to support functions",
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        "ordertable2supp",
        "ordervec2supp",
        "order_obs",
        "salad"
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    },
    {
      "page": "ordertrans",
      "title": "Order transformation",
      "topics": [
        "ordertrans",
        "ordertransplot"
      ]
    },
    {
      "page": "ordervec2supp3",
      "title": "Various functionality for races and hyper3 likelihood functions",
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        "args2ordervec",
        "char2nv",
        "cheering",
        "cheering3",
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        "num3",
        "ordertable2supp3",
        "ordervec2supp3",
        "ordervec2supp3a",
        "race3",
        "race_to_hyper3",
        "rankvec_likelihood3"
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    },
    {
      "page": "pairwise",
      "title": "Pairwise comparisons",
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        "home_away",
        "home_away3",
        "home_away_table",
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        "pairwise",
        "white_draw",
        "white_draw3",
        "zermelo"
      ]
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      "page": "pentathlon",
      "title": "Pentathlon",
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        "pentathlon",
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        "pentathlon_ordertable",
        "pentathlon_table"
      ]
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    {
      "page": "pick",
      "title": "Individual pairwise trials, teams or individuals",
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        "beats",
        "loses",
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        "pick",
        "trial"
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    },
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      "page": "Print",
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      "page": "profile",
      "title": "Profile likelihood and support",
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      "page": "psubs",
      "title": "Substitute players of a hyper2 object",
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      "page": "ranktable",
      "title": "Convert rank tables to and from order tables",
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        "ordertable_to_ranktable",
        "print.ranktablesummary",
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        "summary.ranktable",
        "wikitable_to_ranktable"
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      "page": "RCLF",
      "title": "Dataset from four Scottish football clubs",
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        "Celtic",
        "Falkirk",
        "Livingston",
        "Rangers",
        "RCLF",
        "RCLF3",
        "RCLF3_lambda_max",
        "RCLF3_maxp",
        "RCLF3_table"
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    {
      "page": "rhyper2",
      "title": "Random 'hyper2' objects",
      "topics": [
        "rhyper2"
      ]
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    {
      "page": "rhyper3",
      "title": "Random hyper3 objects",
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        "rhyper3",
        "rpair3",
        "rrace3",
        "rracehyper3",
        "rwinner3"
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      "page": "rowing",
      "title": "Rowing dataset, sculling",
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        "allrowers",
        "rowing",
        "rowing_maxp",
        "rowing_minimal",
        "rowing_minimal_maxp",
        "rowing_minimal_table",
        "rowing_table",
        "sculling",
        "sculls2016"
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      "page": "rp",
      "title": "Random samples from the prior of a 'hyper2' object",
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      "page": "rrace",
      "title": "A random race with given BT strengths",
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        "rrace"
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    },
    {
      "page": "rrank",
      "title": "Random ranks",
      "topics": [
        "print.ranktable",
        "rorder_single",
        "rrank",
        "rrankk",
        "rrank_single"
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    },
    {
      "page": "skating",
      "title": "Figure skating at the 2002 Winter Olympics",
      "topics": [
        "skating",
        "skating_maxp",
        "skating_table",
        "skeleton"
      ]
    },
    {
      "page": "soling",
      "title": "Sailing at the 2000 Summer Olympics - soling",
      "topics": [
        "soling",
        "soling2000",
        "soling2000_qf",
        "soling2000_rr1",
        "soling2000_rr2",
        "soling_after",
        "soling_after_maxp",
        "soling_maxp",
        "soling_qf",
        "soling_rr1",
        "soling_rr2",
        "soling_table",
        "soling_table_2000"
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    },
    {
      "page": "Summary",
      "title": "Summary method for hyper2 objects",
      "topics": [
        "print.summary.hyper2",
        "summary.hyper2"
      ]
    },
    {
      "page": "suplist",
      "title": "Methods for suplist objects",
      "topics": [
        "as.suplist",
        "loglik_lsl",
        "lsl",
        "lsl_add",
        "Ops.lsl",
        "Ops.suplist",
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        "suplist",
        "suplist_add",
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        "supplist"
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    {
      "page": "suppfun",
      "title": "Convert various datasets to support functions.",
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        "suppfun.attemptstable",
        "suppfun.character",
        "suppfun.numeric",
        "suppfun.ordertable",
        "suppfun.ranktable"
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    },
    {
      "page": "surfing",
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        "surfing_maxp",
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        "surfing_venuetypes"
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    },
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      "page": "sushi",
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        "sushi_table"
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    },
    {
      "page": "T20",
      "title": "Indian Premier League T20 cricket",
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    {
      "page": "table_tennis",
      "title": "Match outcomes from repeated table tennis matches",
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        "ping_pong",
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        "table_tennis_serve"
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    },
    {
      "page": "tennis",
      "title": "Match outcomes from repeated doubles tennis matches",
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      "page": "tests",
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      "page": "tidy",
      "title": "Tidy up a hyper2 object",
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    {
      "page": "universities",
      "title": "New Zealand University ranking data",
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      "page": "volleyball",
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    {
      "page": "volvo",
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      "page": "weights",
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      "topics": [
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        "setweight",
        "swait",
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        "weights",
        "weights.hyper3"
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      "page": "zapweak",
      "title": "Zap weak competitors",
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      "page": "zipf",
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        "zipf"
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