Added list of software packages (#44)

Author: marberts

_quarto.yml

@@ -35,6 +35,7 @@ website:
           - href: docs/reproducibility-guidance/how-to-cite-digital-objects.qmd
           - href: docs/reproducibility-guidance/citing-code.qmd
           - href: docs/reproducibility-guidance/citing-data.qmd
+          - href: docs/reproducibility-guidance/open-material.qmd
       - text: "About the Open Data Catalogue"
         href: docs/datasets-guidance/catalogue.qmd
 

docs/reproducibility-guidance/open-material.qmd

@@ -0,0 +1,94 @@
+---
+title: "Open material for price statistics"
+date: 2025-06-08
+date-format: YYYY-MM-DD
+format:
+  html:
+    toc: true
+    toc-expand: 2
+---
+
+## Software for official statistics
+
+There are many open-source software packages for official statistics and survey
+statistics. The two best lists are:
+
+- [Awesome list of official statistics software](https://github.com/SNStatComp/awesome-official-statistics-software)
+
+- [CRAN task view for Official Statistics](https://CRAN.R-project.org/view=OfficialStatistics)
+
+Eurostat also has a similar list that's worth exploring:
+
+- [eurostat@github](https://github.com/eurostat/README?tab=readme-ov-file)
+
+Although some of the packages on these lists are for computing
+index numbers (and are enumerated in the next section), there are several
+complementary tools for, e.g., sampling that are nonetheless important for price
+statistics.
+
+## Software for price statistics
+
+Open source software for price statistics can be split into packages for
+computing index numbers and software to facilitate accessible official
+statistics. Most software for price statistics is implemented in R, with the
+remainder in Python.
+
+### Computing price indexes
+
+#### Multilaterals and scanner data
+
+- [IndexNumR {{< fa brands r-project >}}](https://cran.r-project.org/package=IndexNumR)
+- [PriceIndices {{< fa brands r-project >}}](https://cran.r-project.org/package=PriceIndices)
+
+#### Aggregation
+
+- [piar {{< fa brands r-project >}}](https://cran.r-project.org/package=piar)
+
+#### Housing
+
+- [hpiR {{< fa brands r-project >}}](https://cran.r-project.org/package=hpiR)
+- [rsmatrix {{< fa brands r-project >}}](https://cran.r-project.org/package=rsmatrix)
+
+#### General purpose
+
+- [IndexNumberTools {{< fa brands r-project >}}](https://cran.r-project.org/package=IndexNumberTools)
+
+### Accessing price indexes
+
+- [auxdex {{< fa brands python >}}](https://github.com/rbturnbull/ausdex)
+- [cansim {{< fa brands r-project >}}](https://cran.r-project.org/package=cansim)
+- [hicp {{< fa brands r-project >}}](https://cran.r-project.org/package=hicp)
+- [palewire {{< fa brands python >}}](https://github.com/palewire/cpi)
+
+### Papers
+
+- [dff](https://github.com/eurostat/dff)
+- [IndexNumber: An R Package for Measuring the Evolution of Magnitudes](https://doi.org/10.32614/RJ-2021-038)
+- [piar: Price Index Aggregation in R](https://doi.org/10.21105/joss.06781)
+
+### Older/inactive projects
+
+- [FEWS {{< fa brands r-project >}}](https://github.com/Donal-lynch/FEWS_package)
+- [GEKSdecomp {{< fa brands r-project >}}](https://github.com/MjStansfi/GEKSdecomp)
+- [IndexNumber {{< fa brands r-project >}}](https://cran.r-project.org/package=IndexNumber)
+- [Inflation {{< fa brands r-project >}}](https://cran.r-project.org/package=Inflation)
+- [micEconIndex {{< fa brands r-project >}}](https://cran.r-project.org/package=micEconIndex)
+- [multilateral {{< fa brands r-project >}}](https://github.com/StatisticsNZ/multilateral)
+- [precon {{< fa brands python >}}](https://github.com/ONSBigData/precon)
+- [PriceIndexCalc {{< fa brands python >}}](https://github.com/drrobotk/PriceIndexCalc)
+- [productivity {{< fa brands r-project >}}](https://cran.r-project.org/package=productivity)
+- [TPDdecomp {{< fa brands r-project >}}](https://github.com/MjStansfi/TPDdecomp)
+
+## Reproducibility resources
+
+### General
+
+- [The Turing Way](https://book.the-turing-way.org/)
+
+### Reproducible analytical pipelines
+
+- [RAP Companion, by Matthew Gregory and Matthew Upson shows much of the original RAP ideas (for R)](https://ukgovdatascience.github.io/rap_companion/)
+- [Udemy course on RAP with R](https://www.udemy.com/course/reproducible-analytical-pipelines/)
+- [Reproducible Analytical Pipelines or RAP (NHS) site](https://nhsdigital.github.io/rap-community-of-practice/introduction_to_RAP/what_is_RAP/)
+- [ESCAP training on RAP with web scraping application for price statistics](https://escap-sd.github.io/ESCAP_RAP_class/docs/)
+- [Building reproducible analytical pipelines with R](https://raps-with-r.dev/)