The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

lgr: A Fully Featured Logging Framework

A flexible, feature-rich yet light-weight logging framework based on 'R6' classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, 'JSON', (rotating) files, memory buffers. For extra appenders that support logging to databases, email and push notifications see the the package lgr.app.

Version: 0.4.4
Depends: R (≥ 3.2.0)
Imports: R6 (≥ 2.4.0)
Suggests: cli, covr, crayon, data.table, desc, future, future.apply, glue, jsonlite, knitr, rmarkdown, rotor (≥ 0.3.5), rprojroot, testthat, tibble, tools, utils, whoami, yaml
Published: 2022-09-05
DOI: 10.32614/CRAN.package.lgr
Author: Stefan Fleck ORCID iD [aut, cre]
Maintainer: Stefan Fleck <stefan.b.fleck at gmail.com>
BugReports: https://github.com/s-fleck/lgr/issues/
License: MIT + file LICENSE
URL: https://s-fleck.github.io/lgr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: lgr results

Documentation:

Reference manual: lgr.pdf
Vignettes: lgr

Downloads:

Package source: lgr_0.4.4.tar.gz
Windows binaries: r-devel: lgr_0.4.4.zip, r-release: lgr_0.4.4.zip, r-oldrel: lgr_0.4.4.zip
macOS binaries: r-release (arm64): lgr_0.4.4.tgz, r-oldrel (arm64): lgr_0.4.4.tgz, r-release (x86_64): lgr_0.4.4.tgz, r-oldrel (x86_64): lgr_0.4.4.tgz
Old sources: lgr archive

Reverse dependencies:

Reverse imports: bbotk, biodb, cpi, fscache, lgrExtra, miesmuschel, mlr3, mlr3batchmark, mlr3fda, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3oml, mlr3pipelines, mlr3spatial, mlr3superlearner, mlr3torch, mlr3tuning, rappsflyer, Rpolyhedra, rsparse, RSQL, rush, rvkstat, s3fs, sched, SIAMCAT, solitude, spFSR, text2vec
Reverse suggests: biodbChebi, biodbHmdb, biodbNcbi, biodbNci, biodbUniprot, DoubleML, log4r, mcboost, mlr3db, mlr3filters, mlr3learners, mlr3resampling, mlr3spatiotempcv, mlr3viz, mlrintermbo, RestRserve

Linking:

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