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:Graham White

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'))

Peer review:

Bug tracker:https://github.com/grahamjwhite/indexnumr/issues

Datasets:

On CRAN:

index-numbers

6.30 score 15 stars 1 packages 89 scripts 672 downloads 28 exports 0 dependencies

Last updated 1 years agofrom:d0dfe95989. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:CESDatadominicksDataelasticityevaluateMatchedGEKSIndexGKIndexgroupIndexesimputeCarryPricesimputeQuantitiesmaximumSimilarityLinksmixScaleDissimilaritymonthIndexpredictedSharespriceIndexpriceIndicatorproductChangesquantityIndexquantityIndicatorquarterIndexrelativeDissimilaritysharesunitValuesvalueDecompositionvaluesweekIndexWTPDIndexyearIndexyearOverYearIndexes

Dependencies:

IndexNumR: A Package for Index Number Calculation

Rendered fromindexnumr.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-02-06
Started: 2017-12-01

Readme and manuals

Help Manual

Help pageTopics
Dataset of prices and quantities on four productsCES_sigma_2
Generate data assuming CES preferencesCESData
Get data from the Dominicks datasetdominicksData
Date information for the Dominicks dataDominicksWeeks
Computes the elasticity of substitutionelasticity
Evaluate product overlap between periodsevaluateMatched
Compute a GEKS multilateral indexGEKSIndex
Compute the Geary-Khamis indexGKIndex
Calculate price indexes for product groupsgroupIndexes
Fill all missing prices with carry forward/backward pricesimputeCarryPrices
Impute quantities when only prices are availableimputeQuantities
Finds periods to link using minimum dissimilarity.maximumSimilarityLinks
Computes mix, scale and absolute dissimilarity measuresmixScaleDissimilarity
Generate an index of monthsmonthIndex
Predicted shares for predicted share relative price dissimilaritypredictedShares
Computes a bilateral price indexpriceIndex
Calculate a price indicatorpriceIndicator
Product ID's for appearing/disappearing productsproductChanges
Computes a bilateral quantity indexquantityIndex
Compute a quantity indicatorquantityIndicator
Generate an index of quartersquarterIndex
Computes measures of relative dissimilarity between all periodsrelativeDissimilarity
Compute expenditure shares for each product and time periodshares
Aggregates prices to unit values and quantities to sumsunitValues
valueDecompositionvalueDecomposition
Compute values (price x quantity)values
Generate an index of weeksweekIndex
Compute a weighted time-product-dummy multilateral indexWTPDIndex
Generate an index of yearsyearIndex
Estimate year-over-year indexesyearOverYearIndexes