piar: Price Index Aggregation
Most price indexes are made with a two-step procedure, where
period-over-period elemental indexes are first calculated for a collection
of elemental 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: |
0.8.2 |
| 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: |
2025-03-19 |
| 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.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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