Assessing the Performance of Spatial Cross-Validation Approaches for Models of Spatially Structured Data
Mahoney MJ, Johnson LK, Silge J, Frick H, Kuhn M, Beier CM (2023). “Assessing the performance of spatial cross-validation approaches for models of spatially structured data.” arXiv preprint arXiv:2303.07334.
Abstract
Model stacking is an ensemble modeling technique that involves training a model to combine the outputs of many constituent statistical models. {stacks} is a free and open-source R software package for stacked ensemble modeling that is consistent with tidy data principles. The package’s functionality is closely aligned with the {tidymodels}, a collection of packages providing a unified interface to a diverse set of statistical modeling techniques. Beyond simply providing a mathematically robust interface to build stacked ensemble models, {stacks} adheres to a consistent grammar in order to interface with two object classes that promote an intuitive understanding of the underlying implementation.