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Description

An Implementation of the Hedged Random Forest Algorithm.

This algorithm is described in detail in the paper "Hedging Forecast Combinations With an Application to the Random Forest" by Beck et al. (2023) <doi:10.48550/arXiv.2308.15384>. The package provides a function hedgedrf() that can be used to train a Hedged Random Forest model on a dataset, and a function predict.hedgedrf() that can be used to make predictions with the model.
Metadata

Version

0.0.1

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
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    MMIXware
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