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.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- forestError citation info
- Last release08/10/2021
Documentation
Team
Benjamin Lu
Benjamin Lu and Johanna Hardin
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- Imports2 packages
- Suggests1 package