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labeleR: Automate the Production of Custom Labels, Badges, Certificates, and Other Documents

Create custom labels, badges, certificates and other documents. Automate the production of potentially large numbers of accreditation badges, attendance and participation certificates, herbarium and collection labels, etc. Documents are generated in PDF format, which requires a working installation of 'LaTeX', such as 'TinyTeX'.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: rmarkdown
Suggests: testthat (≥ 3.0.0)
Published: 2024-01-23
DOI: 10.32614/CRAN.package.labeleR
Author: Ignacio Ramos-Gutierrez ORCID iD [aut, cre, cph], Julia G. de Aledo ORCID iD [aut, cph], Francisco Rodriguez-Sanchez ORCID iD [aut, cph], Giorgio Comai [ctb]
Maintainer: Ignacio Ramos-Gutierrez <ig.ramosgutierrez at gmail.com>
BugReports: https://github.com/EcologyR/labeleR/issues/
License: MIT + file LICENSE
URL: https://github.com/EcologyR/labeleR/, https://ecologyr.github.io/labeleR/
NeedsCompilation: no
Citation: labeleR citation info
Materials: README NEWS
CRAN checks: labeleR results

Documentation:

Reference manual: labeleR.pdf

Downloads:

Package source: labeleR_0.1.2.tar.gz
Windows binaries: r-devel: labeleR_0.1.2.zip, r-release: labeleR_0.1.2.zip, r-oldrel: labeleR_0.1.2.zip
macOS binaries: r-release (arm64): labeleR_0.1.2.tgz, r-oldrel (arm64): labeleR_0.1.2.tgz, r-release (x86_64): labeleR_0.1.2.tgz, r-oldrel (x86_64): labeleR_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=labeleR 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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