Package: piar 0.9.0.9002
piar: Price Index Aggregation
Most price indexes are made with a two-step procedure, where period-over-period elementary indexes are first calculated for a collection of elementary aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) for bilateral price indexes.
Authors:
piar_0.9.0.9002.tar.gz
piar_0.9.0.9002.zip(r-4.7)piar_0.9.0.9002.zip(r-4.6)piar_0.9.0.9002.zip(r-4.5)
piar_0.9.0.9002.tgz(r-4.6-any)piar_0.9.0.9002.tgz(r-4.5-any)
piar_0.9.0.9002.tar.gz(r-4.7-any)piar_0.9.0.9002.tar.gz(r-4.6-any)
piar_0.9.0.9002.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
piar/json (API)
NEWS
| # Install 'piar' in R: |
| install.packages('piar', repos = c('https://marberts.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/marberts/piar/issues
Pkgdown/docs site:https://marberts.github.io
- fs_prices - Price data
- fs_weights - Price data
- ms_prices - Price data
- ms_weights - Price data
economicsinflationofficial-statisticsstatistics
Last updated from:69acb6782c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 181 | ||
| linux-release-x86_64 | OK | 132 | ||
| macos-release-arm64 | OK | 149 | ||
| macos-oldrel-arm64 | OK | 169 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 88 | ||
| windows-oldrel | OK | 95 | ||
| wasm-release | OK | 108 |
Exports:aggregation_structureas_aggregation_structureas_indexcarry_backwardcarry_forwardchaincombine_classificationscontribcontrib<-contrib2DFelemental_indexelementary_indexexpand_classificationimpute_pricesinteract_classificationsis_aggregation_structureis_chainable_indexis_direct_indexis_indexntimeprice_relativerebaseset_contribset_contrib_from_indexset_levelsset_timeset_weightsshadow_pricesplit_classificationtime<-unchainweights<-
Adjusting annual weights
Rendered fromadjust-weights.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2024-11-09
Aggregating across baskets
Rendered frommultiple-baskets.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2026-02-06
Started: 2024-10-27
Aggregating across dimensions
Rendered frommultiple-dimensions.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2024-10-27
Aggregating over subperiods
Rendered fromsubperiods.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2026-02-06
Started: 2025-01-11
Contributions
Rendered fromcontributions.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2024-10-27
Imputation
Rendered fromimputation.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2026-05-06
Started: 2024-10-27
Index-number formulas
Rendered fromindex-number-formulas.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2024-10-27
Making price indexes
Rendered frompiar.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2023-06-29
Matrix aggregation
Rendered frommatrix-aggregation.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2024-10-27
Multiple sources of data
Rendered frommultiple-data-sources.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2026-02-06
Started: 2024-10-27
Spatial price indexes
Rendered fromspatial-price-index.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2024-12-29
Started: 2024-12-29
Superlative aggregation
Rendered fromsuperlative-aggregation.Rmdusingknitr::rmarkdownon Jun 01 2026.Last update: 2025-09-11
Started: 2024-10-27
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract index values | [.piar_index [<-.piar_index |
| Aggregate elementary price indexes | aggregate.chainable_piar_index aggregate.direct_piar_index aggregate.piar_index |
| Make a price index aggregation structure | aggregation_structure piar_aggregation_structure |
| Coerce to an aggregation structure | as_aggregation_structure as_aggregation_structure.data.frame as_aggregation_structure.default as_aggregation_structure.matrix |
| Coerce to a price index | 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 |
| Coerce an index into a tabular form | as.data.frame.piar_index as.matrix.piar_index |
| Coerce an aggregation structure into a tabular form | as.data.frame.piar_aggregation_structure as.matrix.piar_aggregation_structure |
| Coerce an index into a time series | as.ts.piar_index |
| Chain and rebase a price index | chain chain.chainable_piar_index chain.default rebase rebase.default rebase.direct_piar_index unchain unchain.default unchain.direct_piar_index |
| Combine hierarchical classifications | combine_classifications |
| Extract percent-change contributions | contrib contrib2DF contrib<- set_contrib set_contrib_from_index |
| Cut an aggregation structure | cut.piar_aggregation_structure |
| Make elementary/elemental price indexes | elemental_index elementary_index elementary_index.data.frame elementary_index.default elementary_index.numeric |
| Expand a hierarchical classification | expand_classification interact_classifications |
| Return the first/last parts of an index | head.piar_index tail.piar_index |
| Impute missing prices | carry_backward carry_forward impute_prices impute_prices.data.frame impute_prices.default impute_prices.matrix impute_prices.numeric shadow_price |
| Test if an object is an aggregation structure | is_aggregation_structure |
| Test if an object is a price index | is_chainable_index is_direct_index is_index |
| Missing values in a price index | anyNA.piar_index is.na.piar_index |
| Get the levels for an aggregation structure | levels.piar_aggregation_structure |
| Get the levels for a price index | levels.piar_index levels<-.piar_index set_levels |
| Aggregate a price index over subperiods | mean.chainable_piar_index mean.direct_piar_index mean.piar_index |
| Merge price indexes | merge.chainable_piar_index merge.direct_piar_index merge.piar_index |
| Price index objects | chainable_piar_index direct_piar_index piar_index |
| Price data | fs_prices fs_weights ms_prices ms_weights price_data |
| Calculate period-over-period price relatives | price_relative price_relative.data.frame price_relative.default |
| Split a hierarchical classification | split_classification |
| Split an index into groups | split.piar_index split<-.piar_index |
| Stack price indexes | stack.chainable_piar_index stack.direct_piar_index stack.piar_index unstack.chainable_piar_index unstack.direct_piar_index |
| Get the time periods for a price index | end.piar_index ntime set_time start.piar_index time.piar_index time<- time<-.piar_index |
| Update an aggregation structure | update.piar_aggregation_structure |
| Get the weights for an aggregation structure | set_weights weights.piar_aggregation_structure weights<- weights<-.piar_aggregation_structure |
| Window a price index | window.piar_index window<-.piar_index |
