POPInf: Assumption-Lean and Data-Adaptive Post-Prediction Inference

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 ORCID iD [aut, cre]
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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