Light weight R package to do fast data splitting for cross-validation or train/valid/test splits
GPL-2.0 License
An R package with Python support for multi-step-ahead forecasting with machine learning and deep ...
Outlier detection based on random forest models
Easy and thorough description of datasets
R package for data preprocessing
Infrastructure for resampling, permuation, and cross-validation in R
Partial dependency plots in R for xgboost, lightGBM and ranger objects
Missingness of Temporal Data
Feature Selection Simulation Files
Analysis of Selection Index in Plant Breeding
Machine learning explanations
Hierarchical and Grouped Time Series
A collection of functions for common data reshaping operations, as well as functions for table an...
Random forest estimator
Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Coerce Actigraphy to Summarized Experiments