klaR: Classification and Visualization

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

Christian Roever • Nils Raabe • Karsten Luebke • Uwe Ligges • Gero Szepannek • Marc Zentgraf • David Meyer • View description and downloads View dependencies GitHub project

2004 Published

1.7-3 Version

0 Citations

7 Authors

Referenced by ⇅	Year
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
caretEnsemble: Ensembles of Caret Models (Version 4.0.1)	2015
caret: Classification and Regression Training (Version 6.0-94)	2007
diceR: Diverse Cluster Ensemble in R (Version 2.2.0)	2017
discrim: Model Wrappers for Discriminant Analysis (Version 1.0.1)	2019
ezECM: Event Categorization Matrix Classification for Nuclear Detonations (Version 1.0.0)	2024
finetune: Additional Functions for Model Tuning (Version 1.2.0)	2020
fingerPro: Sediment Source Fingerprinting (Version 1.1)	2018
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
mlr: Machine Learning in R (Version 2.19.2)	2013
multilevLCA: Estimates and Plots Single-Level and Multilevel Latent Class Models (Version 1.5.2)	2023
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)	2023
telescope: Bayesian Mixtures with an Unknown Number of Components (Version 0.1-0)	2024
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)	2023
tidyclust: A Common API to Clustering (Version 0.2.3)	2022

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