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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.
| Version: | 1.1.0 |
| Imports: | data.table, purrr |
| Suggests: | randomForest |
| Published: | 2021-08-10 |
| Author: | Benjamin Lu and Johanna Hardin |
| Maintainer: | Benjamin Lu <b.lu at berkeley.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | forestError citation info |
| Materials: | README NEWS |
| CRAN checks: | forestError results |
| Reference manual: | forestError.pdf |
| Package source: | forestError_1.1.0.tar.gz |
| Windows binaries: | r-devel: forestError_1.1.0.zip, r-release: forestError_1.1.0.zip, r-oldrel: forestError_1.1.0.zip |
| macOS binaries: | r-release (arm64): forestError_1.1.0.tgz, r-oldrel (arm64): forestError_1.1.0.tgz, r-release (x86_64): forestError_1.1.0.tgz, r-oldrel (x86_64): forestError_1.1.0.tgz |
| Old sources: | forestError archive |
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