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eoR: Data Management Package (Exposure and Occurrence Data in R)

This data management package provides some helper classes for publicly available data sources (HMD, DESTATIS) in Demography. Similar to ideas developed in the Bioconductor project <https://bioconductor.org> we strive to encapsulate data in easy to use S4 objects. If original data is provided in a text file, the resulting S4 object contains all information from that text file. But the information is somehow structured (header, footer, etc). Further the classes provide methods to make a subset for selected calendar years or selected regions. The resulting subset objects still contain the original header and footer information.

Version: 0.4.0
Depends: R (≥ 3.2.0)
Imports: methods, data.table
Published: 2019-11-10
DOI: 10.32614/CRAN.package.eoR
Author: Rainer Walke ORCID iD [aut, cre]
Maintainer: Rainer Walke <walke at demogr.mpg.de>
License: GPL-3
URL: https://github.molgen.mpg.de/walke/eoR
NeedsCompilation: no
Materials: README
CRAN checks: eoR results

Documentation:

Reference manual: eoR.pdf

Downloads:

Package source: eoR_0.4.0.tar.gz
Windows binaries: r-devel: eoR_0.4.0.zip, r-release: eoR_0.4.0.zip, r-oldrel: eoR_0.4.0.zip
macOS binaries: r-release (arm64): eoR_0.4.0.tgz, r-oldrel (arm64): eoR_0.4.0.tgz, r-release (x86_64): eoR_0.4.0.tgz, r-oldrel (x86_64): eoR_0.4.0.tgz

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.