R Package Scholar
40,812

modeldata: Data Sets Useful for Modeling Examples

Max Kuhn  Posit Software   View description and downloadsView dependenciesGitHub project

2019 Published
43 Citations
2 Authors
9 Revisions
1.4.0 Version
MIT License
Referenced by ⇅ Year
extrasteps: More Miscellaneous Steps for the 'recipes' Package (Version 0.1.0)

2024
orbital: Predict with 'tidymodels' Workflows in Databases (Version 0.3.0)

2024
tidydann: Add the 'dann' Model and the 'sub_dann' Model to the Tidymodels Ecosystem (Version 1.0.0)

2023
agua: 'tidymodels' Integration with 'h2o' (Version 0.1.4)

2022
bonsai: Model Wrappers for Tree-Based Models (Version 0.3.2)

2022
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.2)

2022
sparseR: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials (Version 0.3.1)

2022
tidyclust: A Common API to Clustering (Version 0.2.4)

2022
waywiser: Ergonomic Methods for Assessing Spatial Models (Version 0.6.2)

2022
brulee: High-Level Modeling Functions with 'torch' (Version 0.4.0)

2021
shinymodels: Interactive Assessments of Models (Version 0.1.1)

2021
spatialsample: Spatial Resampling Infrastructure (Version 0.6.0)

2021
tabnet: Fit 'TabNet' Models for Classification and Regression (Version 0.6.0)

2021
vetiver: Version, Share, Deploy, and Monitor Models (Version 0.2.5)

2021
workflowsets: Create a Collection of 'tidymodels' Workflows (Version 1.1.0)

2021
applicable: A Compilation of Applicability Domain Methods (Version 0.1.1)

2020
baguette: Efficient Model Functions for Bagging (Version 1.1.0)

2020
finetune: Additional Functions for Model Tuning (Version 1.2.0)

2020
plsmod: Model Wrappers for Projection Methods (Version 1.0.0)

2020
rules: Model Wrappers for Rule-Based Models (Version 1.0.2)

2020
stacks: Tidy Model Stacking (Version 1.0.5)

2020
themis: Extra Recipes Steps for Dealing with Unbalanced Data (Version 1.0.3)

2020
tune: Tidy Tuning Tools (Version 1.3.0)

2020
usemodels: Boilerplate Code for 'Tidymodels' Analyses (Version 0.2.0)

2020
butcher: Model Butcher (Version 0.3.4)

2019
datos: Traduce al Español Varios Conjuntos de Datos de Práctica (Version 0.5.1)

2019
discrim: Model Wrappers for Discriminant Analysis (Version 1.0.1)

2019
hardhat: Construct Modeling Packages (Version 1.4.1)

2019
tidyrules: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data (Version 0.2.7)

2019
workflows: Modeling Workflows (Version 1.2.0)

2019
embed: Extra Recipes for Encoding Predictors (Version 1.1.5)

2018
parsnip: A Common API to Modeling and Analysis Functions (Version 1.3.0)

2018
probably: Tools for Post-Processing Predicted Values (Version 1.0.3)

2018
textrecipes: Extra 'Recipes' for Text Processing (Version 1.0.7)

2018
tidymodels: Easily Install and Load the 'Tidymodels' Packages (Version 1.3.0)

2018
tidypredict: Run Predictions Inside the Database (Version 0.5.1)

2018
vip: Variable Importance Plots (Version 0.4.1)

2018
recipes: Preprocessing and Feature Engineering Steps for Modeling (Version 1.1.1)

2017
rsample: General Resampling Infrastructure (Version 1.2.1)

2017
broom: Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)

2014
sparsediscrim: Sparse and Regularized Discriminant Analysis (Version 0.3.0)

2013
C50: C5.0 Decision Trees and Rule-Based Models (Version 0.1.8)

2012
Cubist: Rule- And Instance-Based Regression Modeling (Version 0.4.4)

2011

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 - 2025 Obi Obianom