tidymodels/parsnip

Easily install and load the tidymodels packages

🌌 The R easystats-project

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

simple and scalable statistical modelling in R

📊 Computation and processing of models' parameters

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

mlr3: Machine Learning in R - next generation