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: | 0.1.5 |
Depends: | R (≥ 2.10) |
Imports: | dplyr, testthat, magrittr, countrycode, tidyselect, utils, purrr, rlang, glue, stats, tidyr, readxl, stringr |
Suggests: | knitr, rmarkdown, covr, spelling |
Published: | 2020-06-23 |
Author: | Daniel Antal |
Maintainer: | Daniel Antal <daniel.antal at ceemid.eu> |
BugReports: | https://github.com/rOpenGov/regions |
License: | GPL-3 |
URL: | https://regions.danielantal.eu/ |
NeedsCompilation: | no |
Language: | en-GB |
Materials: | README NEWS |
CRAN checks: | regions results |
Reference manual: | regions.pdf |
Vignettes: |
Working With Regional, Sub-National Statistical Products The Typology Of The Google Mobility Reports (COVID-19) Recoding & Relabelling Validating Your Typology |
Package source: | regions_0.1.5.tar.gz |
Windows binaries: | r-devel: regions_0.1.5.zip, r-release: regions_0.1.5.zip, r-oldrel: regions_0.1.5.zip |
macOS binaries: | r-release: regions_0.1.5.tgz, r-oldrel: regions_0.1.5.tgz |
Old sources: | regions archive |
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