Package: IndexNumR 0.6.0
Graham White
IndexNumR: Index Number Calculation
Computes bilateral and multilateral index numbers. It has support for many standard bilateral indexes as well as multilateral index number methods such as GEKS, GEKS-Tornqvist (or CCDI), Geary-Khamis and the weighted time product dummy (for details on these methods see Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>). It also supports updating of multilateral indexes using several splicing methods.
Authors:
IndexNumR_0.6.0.tar.gz
IndexNumR_0.6.0.zip(r-4.7)IndexNumR_0.6.0.zip(r-4.6)IndexNumR_0.6.0.zip(r-4.5)
IndexNumR_0.6.0.tgz(r-4.6-any)IndexNumR_0.6.0.tgz(r-4.5-any)
IndexNumR_0.6.0.tar.gz(r-4.7-any)IndexNumR_0.6.0.tar.gz(r-4.6-any)
IndexNumR_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
IndexNumR/json (API)
| # Install 'IndexNumR' in R: |
| install.packages('IndexNumR', repos = c('https://grahamjwhite.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/grahamjwhite/indexnumr/issues
- CES_sigma_2 - Dataset of prices and quantities on four products
- DominicksWeeks - Date information for the Dominicks data
Last updated from:d0dfe95989. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 128 | ||
| source / vignettes | OK | 191 | ||
| linux-release-x86_64 | OK | 124 | ||
| macos-release-arm64 | OK | 108 | ||
| macos-oldrel-arm64 | OK | 115 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 84 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 93 |
Exports:CESDatadominicksDataelasticityevaluateMatchedGEKSIndexGKIndexgroupIndexesimputeCarryPricesimputeQuantitiesmaximumSimilarityLinksmixScaleDissimilaritymonthIndexpredictedSharespriceIndexpriceIndicatorproductChangesquantityIndexquantityIndicatorquarterIndexrelativeDissimilaritysharesunitValuesvalueDecompositionvaluesweekIndexWTPDIndexyearIndexyearOverYearIndexes
Dependencies:
