hal9001
hal9001: Scalable highly adaptive lasso regression in R - Published in JOSS (2020)
Osprey
Osprey: Hyperparameter Optimization for Machine Learning - Published in JOSS (2016)
cvCovEst
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R - Published in JOSS (2021)
blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
origami
origami: A Generalized Framework for Cross-Validation in R - Published in JOSS (2018)
assignPOP
Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.
splitTools
Light weight R package to do fast data splitting for cross-validation or train/valid/test splits
cvAUC
Computationally efficient confidence intervals for cross-validated AUC estimates in R
https://github.com/heidelbergcement/hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
BMTME
Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]
drugresponseeval
Pipeline for testing drug response prediction models in a statistically and biologically sound way.
demo-regularisation
Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R