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 [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: Downloads: Reverse dependencies: Reverse imports: bbotk, biodb, cpi, fscache, lgrExtra, miesmuschel, mlr3, mlr3batchmark, mlr3fda, mlr3fselect, mlr3hyperband, mlr3inferr, 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, mlr3fairness, 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.
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