TSPredIT is an R framework for time series forecasting with integrated tuning. The package organizes the predictive process as a modular pipeline involving data representation, temporal splitting, filtering, augmentation, normalization, modeling, comparison, and hyperparameter tuning.
This material presents tspredit as a support resource for studies and experiments in time series forecasting, with examples focused on building and evaluating predictive workflows.
