Cubist: Rule- And Instance-Based Regression Modeling

Canonical link: https://scholar.rpkg.net/pkg/Cubist

Max Kuhn • Steve Weston • Chris Keefer • Nathan Coulter • Ross Quinlan • Rulequest Research Pty Ltd. • View description and downloads View dependencies GitHub project

2011 Published

0.4.2.1 Version

0 Citations

6 Authors

Referenced by ⇅	Year
mlr: Machine Learning in R (Version 2.19.1)	2013
C50: C5.0 Decision Trees and Rule-Based Models (Version 0.1.8)	2012
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)	2021
caret: Classification and Regression Training (Version 6.0-94)	2007
caretForecast: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms (Version 0.1.1)	2022
dendroTools: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data (Version 1.2.11)	2017
dissever: Spatial Downscaling using the Dissever Algorithm (Version 0.2-3)	2017
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.4.0)	2022
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
geomod: A Computer Program for Geotechnical Investigations (Version 0.1.0)	2023
imputeR: A General Multivariate Imputation Framework (Version 2.2)	2014
pdp: Partial Dependence Plots (Version 0.8.1)	2016
rminer: Data Mining Classification and Regression Methods (Version 1.4.6)	2011
rules: Model Wrappers for Rule-Based Models (Version 1.0.2)	2020
soilassessment: Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)	2019
tidypredict: Run Predictions Inside the Database (Version 0.5)	2018
tidyrules: Obtain Rules from Rule Based Models as Tidy Dataframe (Version 0.1.5)	2019
tsensembler: Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)	2017
vip: Variable Importance Plots (Version 0.4.1)	2018
viralx: Explainers for Regression Models in HIV Research (Version 1.3.0)	2023

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.