Implementation of assumption-lean and data-adaptive post-prediction inference (POPInf), for valid and efficient statistical inference based on data predicted by machine learning. See Miao, Miao, Wu, Zhao, and Lu (2023) <doi:10.48550/arXiv.2311.14220>.
Version: | 1.0.0 |
Depends: | R (≥ 3.5.0) |
Imports: | randomForest, MASS |
Published: | 2024-02-20 |
DOI: | 10.32614/CRAN.package.POPInf |
Author: | Jiacheng Miao |
Maintainer: | Jiacheng Miao <jiacheng.miao at wisc.edu> |
License: | GPL-3 |
URL: | https://arxiv.org/abs/2311.14220, https://github.com/qlu-lab/POPInf |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | POPInf results |
Reference manual: | POPInf.pdf |
Package source: | POPInf_1.0.0.tar.gz |
Windows binaries: | r-devel: POPInf_1.0.0.zip, r-release: POPInf_1.0.0.zip, r-oldrel: POPInf_1.0.0.zip |
macOS binaries: | r-release (arm64): POPInf_1.0.0.tgz, r-oldrel (arm64): POPInf_1.0.0.tgz, r-release (x86_64): POPInf_1.0.0.tgz, r-oldrel (x86_64): POPInf_1.0.0.tgz |
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