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
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
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-release (x86_64): regions_0.1.8.tgz, r-oldrel: regions_0.1.8.tgz
Old sources: regions archive

Linking:

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