R Package Scholar
16,975
Referenced by ⇅ Year
mlr: Machine Learning in R (Version 2.19.1)

2013
CLUSTShiny: Interactive Document for Working with Cluster Analysis (Version 0.1.0)

2019
DA: Discriminant Analysis for Evolutionary Inference (Version 1.2.0)

2021
FPDclustering: PD-Clustering and Related Methods (Version 2.3.1)

2014
TunePareto: Multi-Objective Parameter Tuning for Classifiers (Version 2.5.3)

2010
assignPOP: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework (Version 1.3.0)

2016
butcher: Model Butcher (Version 0.3.4)

2019
caret: Classification and Regression Training (Version 6.0-94)

2007
caretEnsemble: Ensembles of Caret Models (Version 2.0.3)

2015
diceR: Diverse Cluster Ensemble in R (Version 2.2.0)

2017
discrim: Model Wrappers for Discriminant Analysis (Version 1.0.1)

2019
fingerPro: Sediment Source Fingerprinting (Version 1.1)

2018
finetune: Additional Functions for Model Tuning (Version 1.2.0)

2020
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)

2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)

2013
hda: Heteroscedastic Discriminant Analysis (Version 0.2-14)

2010
multilevLCA: Estimates and Plots Single-Level and Multilevel Latent Class Models (Version 1.5)

2023
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)

2023
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)

2023
tidyclust: A Common API to Clustering (Version 0.2.1)

2022

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