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log4r: A Fast and Lightweight Logging System for R, Based on 'log4j'

The log4r package is meant to provide a fast, lightweight, object-oriented approach to logging in R based on the widely-emulated 'log4j' system and etymology.

Version: 0.4.3
Suggests: futile.logger, httr, jsonlite, knitr, lgr, logger, logging, loggit, microbenchmark, rlog, rmarkdown, rsyslog, testthat
Published: 2022-11-28
Author: John Myles White [aut, cph], Kenton White [ctb], Kirill Müller [ctb], Aaron Jacobs [aut, cre]
Maintainer: Aaron Jacobs <atheriel at gmail.com>
BugReports: https://github.com/johnmyleswhite/log4r/issues
License: Artistic-2.0
URL: https://github.com/johnmyleswhite/log4r
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: log4r results

Documentation:

Reference manual: log4r.pdf
Vignettes: Logging Beyond Local Files
Logging Performance
Structured Logging

Downloads:

Package source: log4r_0.4.3.tar.gz
Windows binaries: r-devel: log4r_0.4.3.zip, r-release: log4r_0.4.3.zip, r-oldrel: log4r_0.4.3.zip
macOS binaries: r-release (arm64): log4r_0.4.3.tgz, r-oldrel (arm64): log4r_0.4.3.tgz, r-release (x86_64): log4r_0.4.3.tgz, r-oldrel (x86_64): log4r_0.4.3.tgz
Old sources: log4r archive

Reverse dependencies:

Reverse depends: ptspotter
Reverse imports: archetyper, metaseqR2, MSstatsConvert, uavRmp, wilson
Reverse suggests: pointblank, ProjectTemplate
Reverse enhances: logger

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.