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-4.5)IndexNumR_0.6.0.zip(r-4.4)IndexNumR_0.6.0.zip(r-4.3)
IndexNumR_0.6.0.tgz(r-4.4-any)IndexNumR_0.6.0.tgz(r-4.3-any)
IndexNumR_0.6.0.tar.gz(r-4.5-noble)IndexNumR_0.6.0.tar.gz(r-4.4-noble)
IndexNumR_0.6.0.tgz(r-4.4-emscripten)IndexNumR_0.6.0.tgz(r-4.3-emscripten)
IndexNumR.pdf |IndexNumR.html✨
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 12 months agofrom:d0dfe95989. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:CESDatadominicksDataelasticityevaluateMatchedGEKSIndexGKIndexgroupIndexesimputeCarryPricesimputeQuantitiesmaximumSimilarityLinksmixScaleDissimilaritymonthIndexpredictedSharespriceIndexpriceIndicatorproductChangesquantityIndexquantityIndicatorquarterIndexrelativeDissimilaritysharesunitValuesvalueDecompositionvaluesweekIndexWTPDIndexyearIndexyearOverYearIndexes
Dependencies:
