Package: forestError 1.1.0

forestError: 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 misclassification rates, 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 (2021). This package is compatible with several existing packages that implement random forests in R.

Authors:Benjamin Lu and Johanna Hardin

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Bug tracker:https://github.com/benjilu/foresterror/issues

On CRAN:

inferenceintervalsmachine-learningmachinelearningpredictionrandom-forestrandomforeststatistics

2 exports 26 stars 2.37 score 8 dependencies 16 scripts 596 downloads

Last updated 3 years agofrom:5d9c4b2d01. Checks:OK: 7. Indexed: yes.

Exports:findOOBErrorsquantForestError

Dependencies:clidata.tablegluelifecyclemagrittrpurrrrlangvctrs