Consistent prediction following tidymodels principles
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Notes and code for the workshop "Rule-Based Models for Regression and Classification”
Dataflow Programming for Machine Learning in R
R package implementing Peters-Belson with Prognostic Heterogeneity
Forecasting Functions for Time Series and Linear Models
An R package for computing asymmetric Shapley values to assess causality in any trained machine l...
Estimate effects, contrasts and means based on statistical models
An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
This R-package provides additional functions that help you convey regression models. It has also ...
Build and Tune Several Models
Probabilistic Learning for mlr3
Computation and processing of models' parameters
An R package with Python support for multi-step-ahead forecasting with machine learning and deep ...