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sweinand committed May 27, 2024
1 parent b477192 commit d3a9f59
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: hicp
Type: Package
Title: Harmonised Index of Consumer Prices
Version: 0.4.2
Version: 0.5.0
Authors@R: person("Sebastian", "Weinand", role = c("aut", "cre"), email = "[email protected]")
Description: The Harmonised Index of Consumer Prices (HICP) is the key economic figure to measure inflation in the euro area.
The methodology underlying the HICP is documented in the HICP Methodological Manual (<https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/w/ks-gq-24-003>).
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7 changes: 5 additions & 2 deletions NAMESPACE
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export(aggregate)
export(carli)
export(chain)
export(child)
export(coicop.bundles)
export(contrib)
export(convert)
export(fisher)
export(harmonic)
export(hicp.datafilters)
export(hicp.dataimport)
export(hicp.datasets)
export(is.bundle)
export(is.coicop)
export(laspey)
export(jevons)
export(laspeyres)
export(level)
export(link)
export(lsf)
export(paasche)
export(parent)
export(rates)
export(rebase)
export(toernq)
export(toernqvist)
export(tree)
export(unbundle)
export(unchain)
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6 changes: 6 additions & 0 deletions NEWS.md
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# hicp 0.5.0

* New functions `jevons()`, `carli()`, and `harmonic()` available
* Function `aggregate()` now allows calculation of user-defined aggregates even if not all parts of an aggregate are present in the data (`settings$add.exact=FALSE`)
* Function `aggregate()` no longer requires any weights `w0` or `wt` if the underlying `index` function does not require weights

# hicp 0.4.2

* Function `link()` now returns a matrix instead of a data.table
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6 changes: 3 additions & 3 deletions cran-comments.md
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## Resubmission
This is a submission of an updated package version. In this version I have:

* Updated the output of two functions
* Updated references to the new HICP Methodological Manual
* Cleaned code for easier reference to other package functions
* New functions `jevons()`, `carli()`, and `harmonic()` available
* Function `aggregate()` now allows calculation of user-defined aggregates even if not all parts of an aggregate are present in the data (`settings$add.exact=FALSE`)
* Function `aggregate()` no longer requires any weights `w0` or `wt` if the underlying `index` function does not require weights

## Test environments
- R-hub windows-x86_64-devel (r-devel)
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