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.
| Version: | 
0.8.3 | 
| Depends: | 
R (≥ 4.1) | 
| Imports: | 
stats, utils, gpindex (≥ 0.6.2), Matrix (≥ 1.5-0) | 
| Suggests: | 
data.tree, knitr, rmarkdown, sps, testthat (≥ 3.0.0), treemap | 
| Published: | 
2025-09-17 | 
| DOI: | 
10.32614/CRAN.package.piar | 
| Author: | 
Steve Martin  
    [aut, cre, cph] | 
| Maintainer: | 
Steve Martin  <marberts at protonmail.com> | 
| BugReports: | 
https://github.com/marberts/piar/issues | 
| License: | 
MIT + file LICENSE | 
| URL: | 
https://marberts.github.io/piar/, https://github.com/marberts/piar | 
| NeedsCompilation: | 
no | 
| Citation: | 
piar citation info  | 
| Materials: | 
README, NEWS  | 
| In views: | 
OfficialStatistics | 
| CRAN checks: | 
piar results | 
Documentation:
| Reference manual: | 
 piar.html ,  piar.pdf 
 | 
| Vignettes: | 
Adjusting annual weights (source, R code) 
Contributions (source, R code) 
Imputation (source, R code) 
Index-number formulas (source, R code) 
Matrix aggregation (source, R code) 
Aggregating across baskets (source, R code) 
Multiple sources of data (source, R code) 
Aggregating across dimensions (source, R code) 
Making price indexes (source, R code) 
Spatial price indexes (source, R code) 
Aggregating over subperiods (source, R code) 
Superlative aggregation (source, R code) 
 | 
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