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readabs: Download and Tidy Time Series Data from the Australian Bureau of Statistics

Downloads, imports, and tidies time series data from the Australian Bureau of Statistics <https://www.abs.gov.au/>.

Version: 0.4.16
Depends: R (≥ 3.5)
Imports: readxl (≥ 1.2.0), dplyr (≥ 0.8.0), hutils (≥ 1.5.0), fst, purrr, tidyr (≥ 1.0.0), stringi, tools, glue, httr, rvest, xml2, rlang, labelled
Suggests: knitr, rmarkdown, markdown, testthat (≥ 2.1.0), ggplot2
Published: 2024-05-27
DOI: 10.32614/CRAN.package.readabs
Author: Matt Cowgill ORCID iD [aut, cre], Zoe Meers [aut], Jaron Lee [aut], David Diviny [aut], Hugh Parsonage [ctb], Kinto Behr [ctb]
Maintainer: Matt Cowgill <mattcowgill at gmail.com>
BugReports: https://github.com/mattcowgill/readabs/issues
License: MIT + file LICENSE
URL: https://github.com/mattcowgill/readabs
NeedsCompilation: no
Materials: README NEWS
In views: OfficialStatistics, TimeSeries
CRAN checks: readabs results

Documentation:

Reference manual: readabs.pdf
Vignettes: Using readabs

Downloads:

Package source: readabs_0.4.16.tar.gz
Windows binaries: r-devel: readabs_0.4.16.zip, r-release: readabs_0.4.16.zip, r-oldrel: readabs_0.4.16.zip
macOS binaries: r-release (arm64): readabs_0.4.16.tgz, r-oldrel (arm64): readabs_0.4.16.tgz, r-release (x86_64): readabs_0.4.16.tgz, r-oldrel (x86_64): readabs_0.4.16.tgz
Old sources: readabs archive

Linking:

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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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