forestError (0.1.0)

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A Unified Framework for Random Forest Prediction Error Estimation.

Estimates the conditional error distributions of random forest predictions and common parameters of those distributions, including conditional mean squared prediction errors, conditional biases, and conditional quantiles, by out-of-bag weighting of out-of-bag prediction errors as proposed by Lu and Hardin (2019+) . This package is compatible with several existing packages that implement random forests in R.

Maintainer: Benjamin Lu
Author(s): Benjamin Lu and Johanna Hardin

License: GPL-3

Uses: doParallel, foreach, Rcpp, randomForest

Released 15 days ago.



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