R Package Scholar
26,501
Referenced by ⇅ Year
NADIA: NA Data Imputation Algorithms (Version 0.4.2)

2020
MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.4)

2022
BioM2: Biologically Explainable Machine Learning Framework (Version 1.1.0)

2023
DALEXtra: Extension for 'DALEX' Package (Version 2.3.0)

2019
DoubleML: Double Machine Learning in R (Version 1.0.1)

2020
FACT: Feature Attributions for ClusTering (Version 0.1.1)

2023
GenericML: Generic Machine Learning Inference (Version 0.2.2)

2021
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)

2019
counterfactuals: Counterfactual Explanations (Version 0.1.6)

2023
cpi: Conditional Predictive Impact (Version 0.1.4)

2022
drape: Doubly Robust Average Partial Effects (Version 0.0.1)

2023
explainer: Machine Learning Model Explainer (Version 1.0.2)

2023
gKRLS: Generalized Kernel Regularized Least Squares (Version 1.0.3)

2023
highMLR: Feature Selection for High Dimensional Survival Data (Version 0.1.1)

2021
iml: Interpretable Machine Learning (Version 0.11.3)

2018
mcboost: Multi-Calibration Boosting (Version 0.4.3)

2021
miesmuschel: Mixed Integer Evolution Strategies (Version 0.0.4-2)

2022
mlr3batchmark: Batch Experiments for 'mlr3' (Version 0.1.1)

2023
mlr3benchmark: Analysis and Visualisation of Benchmark Experiments (Version 0.1.6)

2020
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.10)

2020
mlr3data: Collection of Machine Learning Data Sets for 'mlr3' (Version 0.7.0)

2020
mlr3db: Data Base Backend for 'mlr3' (Version 0.5.2)

2019
mlr3fairness: Fairness Auditing and Debiasing for 'mlr3' (Version 0.3.2)

2022
mlr3fda: Extending 'mlr3' to Functional Data Analysis (Version 0.2.0)

2024
mlr3filters: Filter Based Feature Selection for 'mlr3' (Version 0.8.0)

2019
mlr3fselect: Feature Selection for 'mlr3' (Version 1.2.0)

2020
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
mlr3shiny: Machine Learning in 'shiny' with 'mlr3' (Version 0.3.0)

2020
mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem (Version 0.5.0)

2021
mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'mlr3' (Version 2.3.1)

2020
mlr3summary: Model and Learner Summaries for 'mlr3' (Version 0.1.0)

2024
mlr3superlearner: Super Learner Fitting and Prediction (Version 0.1.2)

2024
mlr3torch: Deep Learning with 'mlr3' (Version 0.1.2)

2024
mlr3tuning: Hyperparameter Optimization for 'mlr3' (Version 1.0.2)

2019
mlr3tuningspaces: Search Spaces for 'mlr3' (Version 0.5.1)

2021
mlr3verse: Easily Install and Load the 'mlr3' Package Family (Version 0.3.0)

2019
mlr3viz: Visualizations for 'mlr3' (Version 0.9.0)

2020
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)

2021
sense: Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)

2021
spFSR: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation (Version 2.0.4)

2018
vetiver: Version, Share, Deploy, and Monitor Models (Version 0.2.5)

2021
vip: Variable Importance Plots (Version 0.4.1)

2018
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.9)

2021

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.

rpkg.net © 2022 - 2024 Obi Obianom