lgr: A Fully Featured Logging Framework

Canonical link: https://rscholar.com/pkg/lgr

Stefan Fleck • View description and downloads View dependencies GitHub project

2019 Published

0.4.4 Version

0 Citations

1 Authors

Referenced by ⇅	Year
DominoDataCapture: Domino Data Capture (Version 0.1.1)	2021
DoubleML: Double Machine Learning in R (Version 1.0.1)	2020
RSQL: Database Agnostic Package to Generate and Process 'SQL' Queries in R (Version 0.2.2)	2020
RestRserve: A Framework for Building HTTP API (Version 1.2.3)	2020
Rpolyhedra: Polyhedra Database (Version 0.5.4)	2017
bbotk: Black-Box Optimization Toolkit (Version 1.2.0)	2020
cpi: Conditional Predictive Impact (Version 0.1.4)	2022
fscache: File System Cache (Version 1.0.5)	2024
lgrExtra: Extra Appenders for 'lgr' (Version 0.0.9)	2021
log4r: A Fast and Lightweight Logging System for R, Based on 'log4j' (Version 0.4.4)	2010
mcboost: Multi-Calibration Boosting (Version 0.4.3)	2021
miesmuschel: Mixed Integer Evolution Strategies (Version 0.0.4-2)	2022
mlr3: Machine Learning in R - Next Generation (Version 0.21.1)	2019
mlr3batchmark: Batch Experiments for 'mlr3' (Version 0.1.1)	2023
mlr3db: Data Base Backend for 'mlr3' (Version 0.5.2)	2019
mlr3fda: Extending 'mlr3' to Functional Data Analysis (Version 0.2.0)	2024
mlr3fselect: Feature Selection for 'mlr3' (Version 1.2.0)	2020
mlr3filters: Filter Based Feature Selection for 'mlr3' (Version 0.8.0)	2019
mlr3hyperband: Hyperband for 'mlr3' (Version 0.6.0)	2020
mlr3mbo: Flexible Bayesian Optimization (Version 0.2.6)	2022
mlr3learners: Recommended Learners for 'mlr3' (Version 0.8.0)	2019
mlr3oml: Connector Between 'mlr3' and 'OpenML' (Version 0.10.0)	2020
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)	2019
mlr3resampling: Resampling Algorithms for 'mlr3' Framework (Version 2024.9.6)	2023
mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem (Version 0.5.0)	2021
mlr3superlearner: Super Learner Fitting and Prediction (Version 0.1.2)	2024
mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'mlr3' (Version 2.3.1)	2020
mlr3torch: Deep Learning with 'mlr3' (Version 0.1.2)	2024
mlr3tuning: Hyperparameter Optimization for 'mlr3' (Version 1.0.2)	2019
mlr3viz: Visualizations for 'mlr3' (Version 0.9.0)	2020
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)	2021
rappsflyer: Work with AppsFlyer API (Version 0.2.0)	2021
rsparse: Statistical Learning on Sparse Matrices (Version 0.5.2)	2019
rush: Rapid Parallel and Distributed Computing (Version 0.1.1)	2024
rvkstat: R Interface to API 'vk.com' (Version 3.2.0)	2019
s3fs: 'Amazon Web Service S3' File System (Version 0.1.7)	2023
sched: Request Scheduler (Version 1.0.3)	2024
solitude: An Implementation of Isolation Forest (Version 1.1.3)	2018
spFSR: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation (Version 2.0.4)	2018
text2vec: Modern Text Mining Framework for R (Version 0.6.4)	2016

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.