{
  "_id": "6a5eff089baadeef8ab58562",
  "Package": "piar",
  "Title": "Price Index Aggregation",
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  "Authors@R": "c(\nperson(\"Steve\", \"Martin\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"marberts@protonmail.com\",\ncomment = c(ORCID = \"0000-0003-2544-9480\"))\n)",
  "Description": "Most price indexes are made with a two-step procedure,\nwhere period-over-period elementary indexes are first\ncalculated for a collection of elementary aggregates at each\npoint in time, and then aggregated according to a price index\naggregation structure. These indexes can then be chained\ntogether to form a time series that gives the evolution of\nprices with respect to a fixed base period. This package\ncontains a collection of functions that revolve around this\nwork flow, making it easy to build standard price indexes, and\nimplement the methods described by Balk (2008,\n<doi:10.1017/CBO9780511720758>), von der Lippe (2007,\n<doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020,\n<doi:10.5089/9781484354841.069>) and PPI manual (2004,\n<doi:10.5089/9781589063044.069>) for bilateral price indexes.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "URL": "https://marberts.github.io/piar/, https://github.com/marberts/piar",
  "BugReports": "https://github.com/marberts/piar/issues",
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  "Repository": "https://marberts.r-universe.dev",
  "Date/Publication": "2026-07-21 03:51:38 UTC",
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  "Author": "Steve Martin [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-2544-9480>)",
  "Maintainer": "Steve Martin <marberts@protonmail.com>",
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    "aggregation_structure",
    "as_aggregation_structure",
    "as_index",
    "back_period",
    "carry_backward",
    "carry_forward",
    "chain",
    "combine_classifications",
    "contrib",
    "contrib<-",
    "contrib2DF",
    "elemental_index",
    "elementary_index",
    "emean",
    "expand_classification",
    "geks_index",
    "gmean",
    "hb_transform",
    "impute_prices",
    "interact_classifications",
    "is_aggregation_structure",
    "is_chainable_index",
    "is_direct_index",
    "is_index",
    "nested_gmean",
    "ntime",
    "outliers",
    "price_relative",
    "rebase",
    "scale_weights",
    "set_contrib",
    "set_contrib_from_index",
    "set_levels",
    "set_time",
    "set_weights",
    "shadow_price",
    "splice_index",
    "split_classification",
    "time<-",
    "transmute_weights",
    "transmute_weights2",
    "unchain",
    "update_weights",
    "weights<-"
  ],
  "_datasets": [
    {
      "name": "fs_prices",
      "title": "Price data",
      "object": "fs_prices",
      "class": [
        "data.frame"
      ],
      "fields": [
        "period",
        "business",
        "classification",
        "price",
        "weight"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "fs_weights",
      "title": "Price data",
      "object": "fs_weights",
      "class": [
        "data.frame"
      ],
      "fields": [
        "classification",
        "weight"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "ms_prices",
      "title": "Price data",
      "object": "ms_prices",
      "class": [
        "data.frame"
      ],
      "fields": [
        "period",
        "business",
        "product",
        "price"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "ms_weights",
      "title": "Price data",
      "object": "ms_weights",
      "class": [
        "data.frame"
      ],
      "fields": [
        "business",
        "classification",
        "weight"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "sub-.piar_index",
      "title": "Extract index values",
      "concept": [
        "index methods"
      ],
      "topics": [
        "[.piar_index",
        "[<-.piar_index"
      ]
    },
    {
      "page": "aggregate.piar_index",
      "title": "Aggregate elementary price indexes",
      "concept": [
        "index methods"
      ],
      "topics": [
        "aggregate.chainable_piar_index",
        "aggregate.direct_piar_index",
        "aggregate.piar_index"
      ]
    },
    {
      "page": "aggregation_structure",
      "title": "Make a price index aggregation structure",
      "topics": [
        "aggregation_structure",
        "piar_aggregation_structure"
      ]
    },
    {
      "page": "as_aggregation_structure",
      "title": "Coerce to an aggregation structure",
      "topics": [
        "as_aggregation_structure",
        "as_aggregation_structure.data.frame",
        "as_aggregation_structure.default",
        "as_aggregation_structure.matrix"
      ]
    },
    {
      "page": "as_index",
      "title": "Coerce to a price index",
      "topics": [
        "as_index",
        "as_index.chainable_piar_index",
        "as_index.data.frame",
        "as_index.default",
        "as_index.direct_piar_index",
        "as_index.matrix",
        "as_index.mts"
      ]
    },
    {
      "page": "as.data.frame.piar_index",
      "title": "Coerce an index into a tabular form",
      "concept": [
        "index methods"
      ],
      "topics": [
        "as.data.frame.piar_index",
        "as.matrix.piar_index"
      ]
    },
    {
      "page": "as.matrix.piar_aggregation_structure",
      "title": "Coerce an aggregation structure into a tabular form",
      "concept": [
        "aggregation structure methods"
      ],
      "topics": [
        "as.data.frame.piar_aggregation_structure",
        "as.matrix.piar_aggregation_structure"
      ]
    },
    {
      "page": "as.ts.piar_index",
      "title": "Coerce an index into a time series",
      "concept": [
        "index methods"
      ],
      "topics": [
        "as.ts.piar_index"
      ]
    },
    {
      "page": "back_period",
      "title": "Back period",
      "topics": [
        "back_period"
      ]
    },
    {
      "page": "chain",
      "title": "Chain and rebase a price index",
      "concept": [
        "index methods"
      ],
      "topics": [
        "chain",
        "chain.chainable_piar_index",
        "chain.default",
        "rebase",
        "rebase.default",
        "rebase.direct_piar_index",
        "unchain",
        "unchain.default",
        "unchain.direct_piar_index"
      ]
    },
    {
      "page": "combine_classifications",
      "title": "Combine hierarchical classifications",
      "topics": [
        "combine_classifications"
      ]
    },
    {
      "page": "contrib",
      "title": "Extract percent-change contributions",
      "concept": [
        "index methods"
      ],
      "topics": [
        "contrib",
        "contrib2DF",
        "contrib<-",
        "set_contrib",
        "set_contrib_from_index"
      ]
    },
    {
      "page": "cut.piar_aggregation_structure",
      "title": "Cut an aggregation structure",
      "concept": [
        "aggregation structure methods"
      ],
      "topics": [
        "cut.piar_aggregation_structure"
      ]
    },
    {
      "page": "elementary_index",
      "title": "Make elementary/elemental price indexes",
      "topics": [
        "elemental_index",
        "elementary_index",
        "elementary_index.data.frame",
        "elementary_index.default",
        "elementary_index.numeric"
      ]
    },
    {
      "page": "emean",
      "title": "Extended mean",
      "concept": [
        "math functions"
      ],
      "topics": [
        "emean"
      ]
    },
    {
      "page": "expand_classification",
      "title": "Expand a hierarchical classification",
      "topics": [
        "expand_classification",
        "interact_classifications"
      ]
    },
    {
      "page": "geks_index",
      "title": "GEKS index",
      "topics": [
        "geks_index"
      ]
    },
    {
      "page": "gmean",
      "title": "Generalized mean",
      "concept": [
        "math functions"
      ],
      "topics": [
        "gmean"
      ]
    },
    {
      "page": "head.piar_index",
      "title": "Return the first/last parts of an index",
      "concept": [
        "index methods"
      ],
      "topics": [
        "head.piar_index",
        "tail.piar_index"
      ]
    },
    {
      "page": "impute_prices",
      "title": "Impute missing prices",
      "topics": [
        "carry_backward",
        "carry_forward",
        "impute_prices",
        "impute_prices.data.frame",
        "impute_prices.default",
        "impute_prices.matrix",
        "impute_prices.numeric",
        "shadow_price"
      ]
    },
    {
      "page": "is_aggregation_structure",
      "title": "Test if an object is an aggregation structure",
      "topics": [
        "is_aggregation_structure"
      ]
    },
    {
      "page": "is_index",
      "title": "Test if an object is a price index",
      "topics": [
        "is_chainable_index",
        "is_direct_index",
        "is_index"
      ]
    },
    {
      "page": "is.na.piar_index",
      "title": "Missing values in a price index",
      "concept": [
        "index methods"
      ],
      "topics": [
        "anyNA.piar_index",
        "is.na.piar_index"
      ]
    },
    {
      "page": "levels.piar_aggregation_structure",
      "title": "Get the levels for an aggregation structure",
      "concept": [
        "aggregation structure methods"
      ],
      "topics": [
        "levels.piar_aggregation_structure"
      ]
    },
    {
      "page": "levels.piar_index",
      "title": "Get the levels for a price index",
      "concept": [
        "index methods"
      ],
      "topics": [
        "levels.piar_index",
        "levels<-.piar_index",
        "set_levels"
      ]
    },
    {
      "page": "mean.piar_index",
      "title": "Aggregate a price index over subperiods",
      "concept": [
        "index methods"
      ],
      "topics": [
        "mean.chainable_piar_index",
        "mean.direct_piar_index",
        "mean.piar_index"
      ]
    },
    {
      "page": "merge.piar_index",
      "title": "Merge price indexes",
      "concept": [
        "index methods"
      ],
      "topics": [
        "merge.chainable_piar_index",
        "merge.direct_piar_index",
        "merge.piar_index"
      ]
    },
    {
      "page": "nested_gmean",
      "title": "Nested generalized means",
      "concept": [
        "math functions"
      ],
      "topics": [
        "nested_gmean"
      ]
    },
    {
      "page": "outliers",
      "title": "Outlier detection for price relatives",
      "topics": [
        "hb_transform",
        "outliers"
      ]
    },
    {
      "page": "piar_index",
      "title": "Price index objects",
      "topics": [
        "chainable_piar_index",
        "direct_piar_index",
        "piar_index"
      ]
    },
    {
      "page": "price_data",
      "title": "Price data",
      "topics": [
        "fs_prices",
        "fs_weights",
        "ms_prices",
        "ms_weights",
        "price_data"
      ]
    },
    {
      "page": "price_relative",
      "title": "Calculate period-over-period price relatives",
      "topics": [
        "price_relative",
        "price_relative.data.frame",
        "price_relative.default"
      ]
    },
    {
      "page": "scale_weights",
      "title": "Scale weights",
      "concept": [
        "math functions"
      ],
      "topics": [
        "scale_weights"
      ]
    },
    {
      "page": "splice_index",
      "title": "Splice an index series",
      "concept": [
        "price index functions"
      ],
      "topics": [
        "splice_index"
      ]
    },
    {
      "page": "split_classification",
      "title": "Split a hierarchical classification",
      "topics": [
        "split_classification"
      ]
    },
    {
      "page": "split.piar_index",
      "title": "Split an index into groups",
      "concept": [
        "index methods"
      ],
      "topics": [
        "split.piar_index",
        "split<-.piar_index"
      ]
    },
    {
      "page": "stack.piar_index",
      "title": "Stack price indexes",
      "concept": [
        "index methods"
      ],
      "topics": [
        "stack.chainable_piar_index",
        "stack.direct_piar_index",
        "stack.piar_index",
        "unstack.chainable_piar_index",
        "unstack.direct_piar_index"
      ]
    },
    {
      "page": "time.piar_index",
      "title": "Get the time periods for a price index",
      "concept": [
        "index methods"
      ],
      "topics": [
        "end.piar_index",
        "ntime",
        "set_time",
        "start.piar_index",
        "time.piar_index",
        "time<-",
        "time<-.piar_index"
      ]
    },
    {
      "page": "transmute_weights",
      "title": "Transmute weights for a generalized mean",
      "concept": [
        "math functions"
      ],
      "topics": [
        "transmute_weights"
      ]
    },
    {
      "page": "transmute_weights2",
      "title": "Transmute weights for a nested generalized mean",
      "concept": [
        "math functions"
      ],
      "topics": [
        "transmute_weights2"
      ]
    },
    {
      "page": "update_weights",
      "title": "Update weights",
      "concept": [
        "math functions"
      ],
      "topics": [
        "update_weights"
      ]
    },
    {
      "page": "update.piar_aggregation_structure",
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