lgr: A Fully Featured Logging Framework (original) (raw)

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
URL: https://s-fleck.github.io/lgr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: lgr results

Documentation:

Downloads:

Reverse dependencies:

Reverse imports: bbotk, biodb, cpi, fscache, lgrExtra, miesmuschel, mlr3, mlr3batchmark, mlr3fda, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3oml, mlr3pipelines, mlr3spatial, mlr3superlearner, mlr3torch, mlr3tuning, pipeflow, 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

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