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regions: Processing Regional Statistics

Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.

Version: 0.1.8
Depends: R (≥ 2.10)
Imports: dplyr, magrittr, countrycode, tidyselect, utils, purrr, rlang, glue, stats, tidyr, readxl, stringr, assertthat, tibble, here
Suggests: knitr, testthat, rmarkdown, covr, spelling, devtools, eurostat, ggplot2
Published: 2021-06-21
DOI: 10.32614/CRAN.package.regions
Author: Daniel Antal ORCID iD [aut, cre], Kasia Kulma ORCID iD [ctb], Istvan Zsoldos ORCID iD [ctb], Leo Lahti ORCID iD [ctb]
Maintainer: Daniel Antal <daniel.antal at ceemid.eu>
BugReports: https://github.com/rOpenGov/regions
License: GPL-3
URL: https://regions.dataobservatory.eu/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: regions results

Documentation:

Reference manual: regions.pdf
Vignettes: Working With Regional, Sub-National Statistical Products
Mapping Regional Data, Mapping Metadata Problems
Recoding & Relabelling
Validating Your Typology

Downloads:

Package source: regions_0.1.8.tar.gz
Windows binaries: r-devel: regions_0.1.8.zip, r-release: regions_0.1.8.zip, r-oldrel: regions_0.1.8.zip
macOS binaries: r-release (arm64): regions_0.1.8.tgz, r-oldrel (arm64): regions_0.1.8.tgz, r-release (x86_64): regions_0.1.8.tgz, r-oldrel (x86_64): regions_0.1.8.tgz
Old sources: regions archive

Reverse dependencies:

Reverse imports: eurostat

Linking:

Please use the canonical form https://CRAN.R-project.org/package=regions to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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